Overview

Dataset statistics

Number of variables204
Number of observations73663
Missing cells273879
Missing cells (%)1.8%
Total size in memory114.2 MiB
Average record size in memory1.6 KiB

Variable types

Numeric200
Categorical2
Text2

Alerts

V970 is highly imbalanced (81.3%)Imbalance
V965 has 18510 (25.1%) missing valuesMissing
V966 has 18510 (25.1%) missing valuesMissing
V967 has 18510 (25.1%) missing valuesMissing
V968 has 18510 (25.1%) missing valuesMissing
V969 has 18510 (25.1%) missing valuesMissing
V970 has 18510 (25.1%) missing valuesMissing
V971 has 18510 (25.1%) missing valuesMissing
V972 has 18510 (25.1%) missing valuesMissing
V973 has 18510 (25.1%) missing valuesMissing
FECHA_ENTREGA has 37013 (50.2%) missing valuesMissing
C_OBSERVACION has 70276 (95.4%) missing valuesMissing
V772 is highly skewed (γ1 = 34.07869872)Skewed
V773 is highly skewed (γ1 = 33.26241699)Skewed
V774 is highly skewed (γ1 = 29.53519155)Skewed
V775 is highly skewed (γ1 = 38.06019586)Skewed
V776 is highly skewed (γ1 = 34.39211324)Skewed
V777 is highly skewed (γ1 = 65.85175608)Skewed
V778 is highly skewed (γ1 = 88.54121095)Skewed
V779 is highly skewed (γ1 = 82.7857512)Skewed
V780 is highly skewed (γ1 = 41.20438456)Skewed
V781 is highly skewed (γ1 = 38.30422647)Skewed
V782 is highly skewed (γ1 = 39.59097699)Skewed
V783 is highly skewed (γ1 = 65.11084304)Skewed
V784 is highly skewed (γ1 = 53.32268655)Skewed
V785 is highly skewed (γ1 = 41.72828742)Skewed
V786 is highly skewed (γ1 = 41.86179404)Skewed
V787 is highly skewed (γ1 = 43.69318062)Skewed
V788 is highly skewed (γ1 = 45.66522469)Skewed
V789 is highly skewed (γ1 = 91.09386096)Skewed
V790 is highly skewed (γ1 = 143.4520505)Skewed
V791 is highly skewed (γ1 = 128.6092715)Skewed
V792 is highly skewed (γ1 = 71.63282166)Skewed
V793 is highly skewed (γ1 = 61.39355076)Skewed
V794 is highly skewed (γ1 = 55.67202268)Skewed
V795 is highly skewed (γ1 = 27.63938776)Skewed
V796 is highly skewed (γ1 = 34.42286204)Skewed
V797 is highly skewed (γ1 = 31.42122762)Skewed
V798 is highly skewed (γ1 = 43.04485155)Skewed
V799 is highly skewed (γ1 = 47.70553144)Skewed
V800 is highly skewed (γ1 = 101.4594233)Skewed
V801 is highly skewed (γ1 = 81.78439116)Skewed
V802 is highly skewed (γ1 = 37.44373181)Skewed
V803 is highly skewed (γ1 = 34.57829874)Skewed
V804 is highly skewed (γ1 = 59.21878325)Skewed
V805 is highly skewed (γ1 = 51.30540279)Skewed
V806 is highly skewed (γ1 = 82.41624041)Skewed
V807 is highly skewed (γ1 = 97.79430018)Skewed
V808 is highly skewed (γ1 = 39.52993435)Skewed
V809 is highly skewed (γ1 = 32.35654675)Skewed
V811 is highly skewed (γ1 = 21.68851325)Skewed
V812 is highly skewed (γ1 = 66.68906667)Skewed
V813 is highly skewed (γ1 = 55.02521931)Skewed
V814 is highly skewed (γ1 = 65.42407385)Skewed
V815 is highly skewed (γ1 = 95.77173635)Skewed
V816 is highly skewed (γ1 = 31.96689842)Skewed
V817 is highly skewed (γ1 = 35.86735995)Skewed
V818 is highly skewed (γ1 = 59.49682279)Skewed
V819 is highly skewed (γ1 = 53.93068241)Skewed
V820 is highly skewed (γ1 = 40.31431834)Skewed
V821 is highly skewed (γ1 = 32.95325661)Skewed
V822 is highly skewed (γ1 = 50.06332679)Skewed
V823 is highly skewed (γ1 = 55.10330967)Skewed
V824 is highly skewed (γ1 = 33.41680418)Skewed
V825 is highly skewed (γ1 = 36.03615978)Skewed
V826 is highly skewed (γ1 = 83.05605375)Skewed
V827 is highly skewed (γ1 = 108.7101605)Skewed
V828 is highly skewed (γ1 = 20.00203657)Skewed
V829 is highly skewed (γ1 = 27.17110856)Skewed
V830 is highly skewed (γ1 = 30.94318299)Skewed
V831 is highly skewed (γ1 = 41.90578835)Skewed
V832 is highly skewed (γ1 = 36.76032149)Skewed
V833 is highly skewed (γ1 = 43.0361213)Skewed
V834 is highly skewed (γ1 = 119.2697629)Skewed
V835 is highly skewed (γ1 = 110.1952534)Skewed
V836 is highly skewed (γ1 = 27.3392301)Skewed
V837 is highly skewed (γ1 = 24.78654791)Skewed
V838 is highly skewed (γ1 = 46.98478629)Skewed
V839 is highly skewed (γ1 = 38.26076262)Skewed
V840 is highly skewed (γ1 = 27.83724028)Skewed
V841 is highly skewed (γ1 = 42.57943383)Skewed
V842 is highly skewed (γ1 = 44.76245888)Skewed
V843 is highly skewed (γ1 = 61.16490575)Skewed
V844 is highly skewed (γ1 = 44.77312235)Skewed
V845 is highly skewed (γ1 = 32.39957229)Skewed
V846 is highly skewed (γ1 = 28.35826211)Skewed
V847 is highly skewed (γ1 = 26.92812588)Skewed
V848 is highly skewed (γ1 = 181.0417721)Skewed
V849 is highly skewed (γ1 = 165.6413085)Skewed
V851 is highly skewed (γ1 = 23.54497174)Skewed
V852 is highly skewed (γ1 = 28.26122546)Skewed
V853 is highly skewed (γ1 = 26.18538734)Skewed
V854 is highly skewed (γ1 = 30.50604152)Skewed
V855 is highly skewed (γ1 = 37.67571976)Skewed
V856 is highly skewed (γ1 = 107.9583162)Skewed
V857 is highly skewed (γ1 = 103.990907)Skewed
V858 is highly skewed (γ1 = 26.9446994)Skewed
V859 is highly skewed (γ1 = 31.7326969)Skewed
V860 is highly skewed (γ1 = 31.9877891)Skewed
V861 is highly skewed (γ1 = 32.80204799)Skewed
V862 is highly skewed (γ1 = 44.30202513)Skewed
V863 is highly skewed (γ1 = 37.33284299)Skewed
V864 is highly skewed (γ1 = 91.20196272)Skewed
V865 is highly skewed (γ1 = 80.12475248)Skewed
V866 is highly skewed (γ1 = 225.2777177)Skewed
V867 is highly skewed (γ1 = 230.4969912)Skewed
V868 is highly skewed (γ1 = 35.52890077)Skewed
V869 is highly skewed (γ1 = 32.24000451)Skewed
V870 is highly skewed (γ1 = 78.33156058)Skewed
V871 is highly skewed (γ1 = 97.08908902)Skewed
V872 is highly skewed (γ1 = 81.07518016)Skewed
V873 is highly skewed (γ1 = 73.41539936)Skewed
V874 is highly skewed (γ1 = 206.3695483)Skewed
V875 is highly skewed (γ1 = 229.2286924)Skewed
V876 is highly skewed (γ1 = 102.5705332)Skewed
V877 is highly skewed (γ1 = 85.81142129)Skewed
V878 is highly skewed (γ1 = 96.32427935)Skewed
V879 is highly skewed (γ1 = 118.5333166)Skewed
V880 is highly skewed (γ1 = 54.47997889)Skewed
V881 is highly skewed (γ1 = 45.0688373)Skewed
V882 is highly skewed (γ1 = 49.85007489)Skewed
V886 is highly skewed (γ1 = 177.4324437)Skewed
V887 is highly skewed (γ1 = 221.8881984)Skewed
V888 is highly skewed (γ1 = 205.7646581)Skewed
V889 is highly skewed (γ1 = 40.44249334)Skewed
V890 is highly skewed (γ1 = 36.42699333)Skewed
V891 is highly skewed (γ1 = 39.28737257)Skewed
V892 is highly skewed (γ1 = 245.1173228)Skewed
V893 is highly skewed (γ1 = 261.1225697)Skewed
V894 is highly skewed (γ1 = 256.7680739)Skewed
V899 is highly skewed (γ1 = 25.41304176)Skewed
V901 is highly skewed (γ1 = 116.3305817)Skewed
V902 is highly skewed (γ1 = 106.3928467)Skewed
V903 is highly skewed (γ1 = 112.4809212)Skewed
V907 is highly skewed (γ1 = 28.11372102)Skewed
V908 is highly skewed (γ1 = 26.80991927)Skewed
V909 is highly skewed (γ1 = 27.68019993)Skewed
V910 is highly skewed (γ1 = 137.0849541)Skewed
V911 is highly skewed (γ1 = 189.748709)Skewed
V912 is highly skewed (γ1 = 169.9526481)Skewed
V913 is highly skewed (γ1 = 77.77428282)Skewed
V914 is highly skewed (γ1 = 69.03847341)Skewed
V915 is highly skewed (γ1 = 73.83583224)Skewed
V917 is highly skewed (γ1 = 23.26762604)Skewed
V918 is highly skewed (γ1 = 20.15318996)Skewed
V919 is highly skewed (γ1 = 40.56064053)Skewed
V920 is highly skewed (γ1 = 40.93017569)Skewed
V921 is highly skewed (γ1 = 39.67114809)Skewed
V922 is highly skewed (γ1 = 150.8914092)Skewed
V923 is highly skewed (γ1 = 151.3643751)Skewed
V924 is highly skewed (γ1 = 152.2839745)Skewed
V925 is highly skewed (γ1 = 58.23929629)Skewed
V926 is highly skewed (γ1 = 101.8196361)Skewed
V927 is highly skewed (γ1 = 86.94367903)Skewed
V928 is highly skewed (γ1 = 133.4017841)Skewed
V929 is highly skewed (γ1 = 136.692899)Skewed
V930 is highly skewed (γ1 = 136.1390611)Skewed
V931 is highly skewed (γ1 = 166.3215916)Skewed
V932 is highly skewed (γ1 = 227.6812506)Skewed
V933 is highly skewed (γ1 = 214.5925058)Skewed
V934 is highly skewed (γ1 = 37.77514172)Skewed
V935 is highly skewed (γ1 = 71.02588815)Skewed
V936 is highly skewed (γ1 = 52.28566991)Skewed
V937 is highly skewed (γ1 = 118.0249423)Skewed
V938 is highly skewed (γ1 = 130.4867832)Skewed
V939 is highly skewed (γ1 = 126.5993251)Skewed
V946 is highly skewed (γ1 = 30.17609378)Skewed
V947 is highly skewed (γ1 = 31.58078506)Skewed
V948 is highly skewed (γ1 = 29.65725459)Skewed
V949 is highly skewed (γ1 = 21.41110956)Skewed
V950 is highly skewed (γ1 = 67.31933388)Skewed
V951 is highly skewed (γ1 = 43.20979564)Skewed
V952 is highly skewed (γ1 = 40.1359839)Skewed
V953 is highly skewed (γ1 = 42.72047682)Skewed
V954 is highly skewed (γ1 = 41.50454148)Skewed
V958 is highly skewed (γ1 = 39.10142881)Skewed
V959 is highly skewed (γ1 = 54.06233807)Skewed
V960 is highly skewed (γ1 = 48.09702358)Skewed
V964 is highly skewed (γ1 = 151.9608205)Skewed
V973 is highly skewed (γ1 = 36.74573361)Skewed
V772 has 54556 (74.1%) zerosZeros
V773 has 49417 (67.1%) zerosZeros
V774 has 73359 (99.6%) zerosZeros
V775 has 73324 (99.5%) zerosZeros
V776 has 73092 (99.2%) zerosZeros
V777 has 72407 (98.3%) zerosZeros
V778 has 72302 (98.2%) zerosZeros
V779 has 71550 (97.1%) zerosZeros
V780 has 72159 (98.0%) zerosZeros
V781 has 72177 (98.0%) zerosZeros
V782 has 71423 (97.0%) zerosZeros
V783 has 73633 (> 99.9%) zerosZeros
V784 has 73627 (> 99.9%) zerosZeros
V785 has 73598 (99.9%) zerosZeros
V786 has 73283 (99.5%) zerosZeros
V787 has 73269 (99.5%) zerosZeros
V788 has 73015 (99.1%) zerosZeros
V789 has 72936 (99.0%) zerosZeros
V790 has 72898 (99.0%) zerosZeros
V791 has 72464 (98.4%) zerosZeros
V792 has 73644 (> 99.9%) zerosZeros
V793 has 73640 (> 99.9%) zerosZeros
V794 has 73624 (99.9%) zerosZeros
V795 has 53946 (73.2%) zerosZeros
V796 has 53249 (72.3%) zerosZeros
V797 has 47898 (65.0%) zerosZeros
V798 has 72176 (98.0%) zerosZeros
V799 has 72120 (97.9%) zerosZeros
V800 has 71250 (96.7%) zerosZeros
V801 has 71236 (96.7%) zerosZeros
V802 has 72792 (98.8%) zerosZeros
V803 has 72739 (98.7%) zerosZeros
V804 has 72763 (98.8%) zerosZeros
V805 has 72792 (98.8%) zerosZeros
V806 has 70689 (96.0%) zerosZeros
V807 has 70715 (96.0%) zerosZeros
V808 has 72558 (98.5%) zerosZeros
V809 has 72571 (98.5%) zerosZeros
V810 has 68978 (93.6%) zerosZeros
V811 has 69015 (93.7%) zerosZeros
V812 has 70716 (96.0%) zerosZeros
V813 has 70673 (95.9%) zerosZeros
V814 has 67779 (92.0%) zerosZeros
V815 has 67819 (92.1%) zerosZeros
V816 has 71640 (97.3%) zerosZeros
V817 has 71634 (97.2%) zerosZeros
V818 has 68299 (92.7%) zerosZeros
V819 has 68348 (92.8%) zerosZeros
V820 has 69032 (93.7%) zerosZeros
V821 has 69033 (93.7%) zerosZeros
V822 has 70715 (96.0%) zerosZeros
V823 has 70700 (96.0%) zerosZeros
V824 has 68026 (92.3%) zerosZeros
V825 has 67959 (92.3%) zerosZeros
V826 has 64299 (87.3%) zerosZeros
V827 has 64271 (87.3%) zerosZeros
V828 has 69325 (94.1%) zerosZeros
V829 has 69318 (94.1%) zerosZeros
V830 has 71929 (97.6%) zerosZeros
V831 has 71927 (97.6%) zerosZeros
V832 has 72172 (98.0%) zerosZeros
V833 has 72150 (97.9%) zerosZeros
V834 has 71105 (96.5%) zerosZeros
V835 has 71122 (96.6%) zerosZeros
V836 has 69518 (94.4%) zerosZeros
V837 has 69458 (94.3%) zerosZeros
V838 has 65435 (88.8%) zerosZeros
V839 has 65407 (88.8%) zerosZeros
V840 has 71920 (97.6%) zerosZeros
V841 has 71941 (97.7%) zerosZeros
V842 has 72185 (98.0%) zerosZeros
V843 has 72120 (97.9%) zerosZeros
V844 has 70927 (96.3%) zerosZeros
V845 has 70929 (96.3%) zerosZeros
V846 has 70610 (95.9%) zerosZeros
V847 has 70602 (95.8%) zerosZeros
V848 has 71743 (97.4%) zerosZeros
V849 has 71756 (97.4%) zerosZeros
V850 has 71762 (97.4%) zerosZeros
V851 has 71705 (97.3%) zerosZeros
V852 has 70970 (96.3%) zerosZeros
V853 has 70929 (96.3%) zerosZeros
V854 has 72260 (98.1%) zerosZeros
V855 has 72251 (98.1%) zerosZeros
V856 has 64768 (87.9%) zerosZeros
V857 has 64760 (87.9%) zerosZeros
V858 has 71547 (97.1%) zerosZeros
V859 has 71581 (97.2%) zerosZeros
V860 has 71916 (97.6%) zerosZeros
V861 has 71893 (97.6%) zerosZeros
V862 has 69422 (94.2%) zerosZeros
V863 has 69380 (94.2%) zerosZeros
V864 has 73592 (99.9%) zerosZeros
V865 has 73578 (99.9%) zerosZeros
V866 has 73252 (99.4%) zerosZeros
V867 has 73264 (99.5%) zerosZeros
V868 has 73306 (99.5%) zerosZeros
V869 has 73284 (99.5%) zerosZeros
V870 has 73651 (> 99.9%) zerosZeros
V871 has 73652 (> 99.9%) zerosZeros
V872 has 73563 (99.9%) zerosZeros
V873 has 73544 (99.8%) zerosZeros
V874 has 73469 (99.7%) zerosZeros
V875 has 73443 (99.7%) zerosZeros
V876 has 73656 (> 99.9%) zerosZeros
V877 has 73653 (> 99.9%) zerosZeros
V878 has 5991 (8.1%) zerosZeros
V879 has 6167 (8.4%) zerosZeros
V880 has 62126 (84.3%) zerosZeros
V881 has 61733 (83.8%) zerosZeros
V882 has 61556 (83.6%) zerosZeros
V883 has 63955 (86.8%) zerosZeros
V884 has 63655 (86.4%) zerosZeros
V885 has 63292 (85.9%) zerosZeros
V886 has 59773 (81.1%) zerosZeros
V887 has 59531 (80.8%) zerosZeros
V888 has 59109 (80.2%) zerosZeros
V889 has 56906 (77.3%) zerosZeros
V890 has 56874 (77.2%) zerosZeros
V891 has 56237 (76.3%) zerosZeros
V892 has 60703 (82.4%) zerosZeros
V893 has 60952 (82.7%) zerosZeros
V894 has 60268 (81.8%) zerosZeros
V895 has 60700 (82.4%) zerosZeros
V896 has 60839 (82.6%) zerosZeros
V897 has 60449 (82.1%) zerosZeros
V898 has 68534 (93.0%) zerosZeros
V899 has 69046 (93.7%) zerosZeros
V900 has 68361 (92.8%) zerosZeros
V901 has 72568 (98.5%) zerosZeros
V902 has 72637 (98.6%) zerosZeros
V903 has 72431 (98.3%) zerosZeros
V904 has 60769 (82.5%) zerosZeros
V905 has 60143 (81.6%) zerosZeros
V906 has 59839 (81.2%) zerosZeros
V907 has 71688 (97.3%) zerosZeros
V908 has 71681 (97.3%) zerosZeros
V909 has 71559 (97.1%) zerosZeros
V910 has 14462 (19.6%) zerosZeros
V911 has 14397 (19.5%) zerosZeros
V912 has 13624 (18.5%) zerosZeros
V913 has 69256 (94.0%) zerosZeros
V914 has 70084 (95.1%) zerosZeros
V915 has 67366 (91.5%) zerosZeros
V916 has 68793 (93.4%) zerosZeros
V917 has 70363 (95.5%) zerosZeros
V918 has 67760 (92.0%) zerosZeros
V919 has 72641 (98.6%) zerosZeros
V920 has 72849 (98.9%) zerosZeros
V921 has 72294 (98.1%) zerosZeros
V922 has 72344 (98.2%) zerosZeros
V923 has 72419 (98.3%) zerosZeros
V924 has 71678 (97.3%) zerosZeros
V925 has 72586 (98.5%) zerosZeros
V926 has 72728 (98.7%) zerosZeros
V927 has 71984 (97.7%) zerosZeros
V928 has 69602 (94.5%) zerosZeros
V929 has 69563 (94.4%) zerosZeros
V930 has 68408 (92.9%) zerosZeros
V931 has 72962 (99.0%) zerosZeros
V932 has 72935 (99.0%) zerosZeros
V933 has 72475 (98.4%) zerosZeros
V934 has 71961 (97.7%) zerosZeros
V935 has 72646 (98.6%) zerosZeros
V936 has 71587 (97.2%) zerosZeros
V937 has 62927 (85.4%) zerosZeros
V938 has 64657 (87.8%) zerosZeros
V939 has 60527 (82.2%) zerosZeros
V940 has 64107 (87.0%) zerosZeros
V941 has 63270 (85.9%) zerosZeros
V942 has 62395 (84.7%) zerosZeros
V943 has 66798 (90.7%) zerosZeros
V944 has 66091 (89.7%) zerosZeros
V945 has 65392 (88.8%) zerosZeros
V946 has 69283 (94.1%) zerosZeros
V947 has 68906 (93.5%) zerosZeros
V948 has 68440 (92.9%) zerosZeros
V949 has 66097 (89.7%) zerosZeros
V950 has 66298 (90.0%) zerosZeros
V951 has 64912 (88.1%) zerosZeros
V952 has 69764 (94.7%) zerosZeros
V953 has 70415 (95.6%) zerosZeros
V954 has 69395 (94.2%) zerosZeros
V955 has 61440 (83.4%) zerosZeros
V956 has 61054 (82.9%) zerosZeros
V957 has 60307 (81.9%) zerosZeros
V958 has 9900 (13.4%) zerosZeros
V959 has 10172 (13.8%) zerosZeros
V960 has 5771 (7.8%) zerosZeros
V961 has 35655 (48.4%) zerosZeros
V962 has 35672 (48.4%) zerosZeros
V963 has 35402 (48.1%) zerosZeros
V964 has 35392 (48.0%) zerosZeros
V965 has 25871 (35.1%) zerosZeros
V966 has 27901 (37.9%) zerosZeros
V967 has 37057 (50.3%) zerosZeros
V968 has 42397 (57.6%) zerosZeros
V969 has 43741 (59.4%) zerosZeros
V972 has 53581 (72.7%) zerosZeros
V973 has 54032 (73.4%) zerosZeros

Reproduction

Analysis started2024-03-10 02:18:53.471015
Analysis finished2024-03-10 02:18:57.658060
Duration4.19 seconds
Software versionydata-profiling vv4.6.5
Download configurationconfig.json

Variables

V772
Real number (ℝ)

SKEWED  ZEROS 

Distinct90
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.053432524
Minimum0
Maximum372
Zeros54556
Zeros (%)74.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:58.918212image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum372
Range372
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.950491621
Coefficient of variation (CV)4.699391285
Kurtosis2062.04418
Mean1.053432524
Median Absolute Deviation (MAD)0
Skewness34.07869872
Sum77599
Variance24.50736729
MonotonicityNot monotonic
2024-03-09T21:18:59.354308image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54556
74.1%
1 7535
 
10.2%
2 3635
 
4.9%
3 2148
 
2.9%
4 1425
 
1.9%
5 934
 
1.3%
6 661
 
0.9%
7 503
 
0.7%
8 380
 
0.5%
9 324
 
0.4%
Other values (80) 1562
 
2.1%
ValueCountFrequency (%)
0 54556
74.1%
1 7535
 
10.2%
2 3635
 
4.9%
3 2148
 
2.9%
4 1425
 
1.9%
ValueCountFrequency (%)
372 2
< 0.1%
366 1
< 0.1%
354 1
< 0.1%
319 1
< 0.1%
202 1
< 0.1%

V773
Real number (ℝ)

SKEWED  ZEROS 

Distinct145
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.952323419
Minimum0
Maximum683
Zeros49417
Zeros (%)67.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:59.733029image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum683
Range683
Interquartile range (IQR)1

Descriptive statistics

Standard deviation9.01746874
Coefficient of variation (CV)4.618839611
Kurtosis1917.545724
Mean1.952323419
Median Absolute Deviation (MAD)0
Skewness33.26241699
Sum143814
Variance81.31474247
MonotonicityNot monotonic
2024-03-09T21:19:00.160351image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 49417
67.1%
1 7462
 
10.1%
2 4301
 
5.8%
3 2698
 
3.7%
4 1845
 
2.5%
5 1412
 
1.9%
6 1003
 
1.4%
7 804
 
1.1%
8 631
 
0.9%
9 517
 
0.7%
Other values (135) 3573
 
4.9%
ValueCountFrequency (%)
0 49417
67.1%
1 7462
 
10.1%
2 4301
 
5.8%
3 2698
 
3.7%
4 1845
 
2.5%
ValueCountFrequency (%)
683 1
< 0.1%
668 1
< 0.1%
665 1
< 0.1%
556 1
< 0.1%
544 1
< 0.1%

V774
Real number (ℝ)

SKEWED  ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005443709868
Minimum0
Maximum8
Zeros73359
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:00.522476image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09946894588
Coefficient of variation (CV)18.27227172
Kurtosis1346.755043
Mean0.005443709868
Median Absolute Deviation (MAD)0
Skewness29.53519155
Sum401
Variance0.009894071195
MonotonicityNot monotonic
2024-03-09T21:19:00.967182image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 73359
99.6%
1 244
 
0.3%
2 38
 
0.1%
3 15
 
< 0.1%
4 4
 
< 0.1%
6 2
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
0 73359
99.6%
1 244
 
0.3%
2 38
 
0.1%
3 15
 
< 0.1%
4 4
 
< 0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
6 2
 
< 0.1%
4 4
 
< 0.1%
3 15
 
< 0.1%
2 38
0.1%

V775
Real number (ℝ)

SKEWED  ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005918846639
Minimum0
Maximum12
Zeros73324
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:01.322236image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1057277013
Coefficient of variation (CV)17.86288912
Kurtosis2834.48169
Mean0.005918846639
Median Absolute Deviation (MAD)0
Skewness38.06019586
Sum436
Variance0.01117834681
MonotonicityNot monotonic
2024-03-09T21:19:01.549105image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 73324
99.5%
1 279
 
0.4%
2 42
 
0.1%
3 11
 
< 0.1%
4 4
 
< 0.1%
6 2
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
0 73324
99.5%
1 279
 
0.4%
2 42
 
0.1%
3 11
 
< 0.1%
4 4
 
< 0.1%
ValueCountFrequency (%)
12 1
 
< 0.1%
6 2
 
< 0.1%
4 4
 
< 0.1%
3 11
 
< 0.1%
2 42
0.1%

V776
Real number (ℝ)

SKEWED  ZEROS 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01136255651
Minimum0
Maximum16
Zeros73092
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:01.753697image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.171457423
Coefficient of variation (CV)15.08968716
Kurtosis2080.429719
Mean0.01136255651
Median Absolute Deviation (MAD)0
Skewness34.39211324
Sum837
Variance0.02939764791
MonotonicityNot monotonic
2024-03-09T21:19:01.996335image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 73092
99.2%
1 443
 
0.6%
2 71
 
0.1%
3 28
 
< 0.1%
4 11
 
< 0.1%
5 8
 
< 0.1%
7 4
 
< 0.1%
6 3
 
< 0.1%
14 1
 
< 0.1%
16 1
 
< 0.1%
ValueCountFrequency (%)
0 73092
99.2%
1 443
 
0.6%
2 71
 
0.1%
3 28
 
< 0.1%
4 11
 
< 0.1%
ValueCountFrequency (%)
16 1
 
< 0.1%
14 1
 
< 0.1%
8 1
 
< 0.1%
7 4
< 0.1%
6 3
< 0.1%

V777
Real number (ℝ)

SKEWED  ZEROS 

Distinct19
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02948563051
Minimum0
Maximum61
Zeros72407
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:02.245298image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum61
Range61
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3989811699
Coefficient of variation (CV)13.53137657
Kurtosis8137.200662
Mean0.02948563051
Median Absolute Deviation (MAD)0
Skewness65.85175608
Sum2172
Variance0.1591859739
MonotonicityNot monotonic
2024-03-09T21:19:02.472104image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 72407
98.3%
1 897
 
1.2%
2 202
 
0.3%
3 70
 
0.1%
4 25
 
< 0.1%
5 19
 
< 0.1%
6 12
 
< 0.1%
10 7
 
< 0.1%
7 6
 
< 0.1%
8 6
 
< 0.1%
Other values (9) 12
 
< 0.1%
ValueCountFrequency (%)
0 72407
98.3%
1 897
 
1.2%
2 202
 
0.3%
3 70
 
0.1%
4 25
 
< 0.1%
ValueCountFrequency (%)
61 1
< 0.1%
27 1
< 0.1%
21 1
< 0.1%
20 1
< 0.1%
19 1
< 0.1%

V778
Real number (ℝ)

SKEWED  ZEROS 

Distinct19
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03273013589
Minimum0
Maximum73
Zeros72302
Zeros (%)98.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:02.708268image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum73
Range73
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4932011438
Coefficient of variation (CV)15.06871666
Kurtosis11751.45585
Mean0.03273013589
Median Absolute Deviation (MAD)0
Skewness88.54121095
Sum2411
Variance0.2432473683
MonotonicityNot monotonic
2024-03-09T21:19:03.205433image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 72302
98.2%
1 950
 
1.3%
2 231
 
0.3%
3 86
 
0.1%
4 31
 
< 0.1%
5 23
 
< 0.1%
7 8
 
< 0.1%
8 8
 
< 0.1%
6 6
 
< 0.1%
10 6
 
< 0.1%
Other values (9) 12
 
< 0.1%
ValueCountFrequency (%)
0 72302
98.2%
1 950
 
1.3%
2 231
 
0.3%
3 86
 
0.1%
4 31
 
< 0.1%
ValueCountFrequency (%)
73 1
< 0.1%
68 1
< 0.1%
29 1
< 0.1%
27 1
< 0.1%
15 1
< 0.1%

V779
Real number (ℝ)

SKEWED  ZEROS 

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0622157664
Minimum0
Maximum134
Zeros71550
Zeros (%)97.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:03.561267image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum134
Range134
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8406135668
Coefficient of variation (CV)13.51126275
Kurtosis10956.83671
Mean0.0622157664
Median Absolute Deviation (MAD)0
Skewness82.7857512
Sum4583
Variance0.7066311686
MonotonicityNot monotonic
2024-03-09T21:19:04.061117image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 71550
97.1%
1 1325
 
1.8%
2 407
 
0.6%
3 150
 
0.2%
4 64
 
0.1%
5 47
 
0.1%
6 26
 
< 0.1%
7 22
 
< 0.1%
8 15
 
< 0.1%
11 8
 
< 0.1%
Other values (17) 49
 
0.1%
ValueCountFrequency (%)
0 71550
97.1%
1 1325
 
1.8%
2 407
 
0.6%
3 150
 
0.2%
4 64
 
0.1%
ValueCountFrequency (%)
134 1
< 0.1%
89 1
< 0.1%
56 1
< 0.1%
47 1
< 0.1%
30 1
< 0.1%

V780
Real number (ℝ)

SKEWED  ZEROS 

Distinct38
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05643267312
Minimum0
Maximum59
Zeros72159
Zeros (%)98.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:04.566432image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum59
Range59
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8794641945
Coefficient of variation (CV)15.58430863
Kurtosis2167.344588
Mean0.05643267312
Median Absolute Deviation (MAD)0
Skewness41.20438456
Sum4157
Variance0.7734572694
MonotonicityNot monotonic
2024-03-09T21:19:04.916023image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 72159
98.0%
1 936
 
1.3%
2 236
 
0.3%
3 100
 
0.1%
4 56
 
0.1%
5 27
 
< 0.1%
6 23
 
< 0.1%
7 21
 
< 0.1%
9 19
 
< 0.1%
8 15
 
< 0.1%
Other values (28) 71
 
0.1%
ValueCountFrequency (%)
0 72159
98.0%
1 936
 
1.3%
2 236
 
0.3%
3 100
 
0.1%
4 56
 
0.1%
ValueCountFrequency (%)
59 1
< 0.1%
56 2
< 0.1%
55 1
< 0.1%
53 1
< 0.1%
52 1
< 0.1%

V781
Real number (ℝ)

SKEWED  ZEROS 

Distinct40
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05945997312
Minimum0
Maximum64
Zeros72177
Zeros (%)98.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:05.214156image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum64
Range64
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9142274075
Coefficient of variation (CV)15.37550994
Kurtosis1889.616663
Mean0.05945997312
Median Absolute Deviation (MAD)0
Skewness38.30422647
Sum4380
Variance0.8358117526
MonotonicityNot monotonic
2024-03-09T21:19:05.708729image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 72177
98.0%
1 910
 
1.2%
2 223
 
0.3%
3 98
 
0.1%
4 55
 
0.1%
5 40
 
0.1%
7 24
 
< 0.1%
8 19
 
< 0.1%
9 18
 
< 0.1%
6 17
 
< 0.1%
Other values (30) 82
 
0.1%
ValueCountFrequency (%)
0 72177
98.0%
1 910
 
1.2%
2 223
 
0.3%
3 98
 
0.1%
4 55
 
0.1%
ValueCountFrequency (%)
64 1
< 0.1%
55 1
< 0.1%
52 1
< 0.1%
51 1
< 0.1%
50 1
< 0.1%

V782
Real number (ℝ)

SKEWED  ZEROS 

Distinct52
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1158926462
Minimum0
Maximum117
Zeros71423
Zeros (%)97.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:06.058897image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum117
Range117
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.748656475
Coefficient of variation (CV)15.08858873
Kurtosis1958.312688
Mean0.1158926462
Median Absolute Deviation (MAD)0
Skewness39.59097699
Sum8537
Variance3.057799469
MonotonicityNot monotonic
2024-03-09T21:19:06.653004image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71423
97.0%
1 1238
 
1.7%
2 376
 
0.5%
3 184
 
0.2%
4 89
 
0.1%
5 61
 
0.1%
6 44
 
0.1%
7 32
 
< 0.1%
8 20
 
< 0.1%
9 16
 
< 0.1%
Other values (42) 180
 
0.2%
ValueCountFrequency (%)
0 71423
97.0%
1 1238
 
1.7%
2 376
 
0.5%
3 184
 
0.2%
4 89
 
0.1%
ValueCountFrequency (%)
117 1
< 0.1%
106 1
< 0.1%
101 1
< 0.1%
99 1
< 0.1%
95 1
< 0.1%

V783
Real number (ℝ)

SKEWED  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0004479860989
Minimum0
Maximum3
Zeros73633
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:06.890903image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02358804043
Coefficient of variation (CV)52.65350976
Kurtosis5473.992973
Mean0.0004479860989
Median Absolute Deviation (MAD)0
Skewness65.11084304
Sum33
Variance0.0005563956512
MonotonicityNot monotonic
2024-03-09T21:19:07.274339image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 73633
> 99.9%
1 28
 
< 0.1%
3 1
 
< 0.1%
2 1
 
< 0.1%
ValueCountFrequency (%)
0 73633
> 99.9%
1 28
 
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
ValueCountFrequency (%)
3 1
 
< 0.1%
2 1
 
< 0.1%
1 28
 
< 0.1%
0 73633
> 99.9%

V784
Real number (ℝ)

SKEWED  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0005701641258
Minimum0
Maximum2
Zeros73627
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:07.748426image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02706941119
Coefficient of variation (CV)47.47652467
Kurtosis3178.514731
Mean0.0005701641258
Median Absolute Deviation (MAD)0
Skewness53.32268655
Sum42
Variance0.000732753022
MonotonicityNot monotonic
2024-03-09T21:19:08.152212image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 73627
> 99.9%
1 30
 
< 0.1%
2 6
 
< 0.1%
ValueCountFrequency (%)
0 73627
> 99.9%
1 30
 
< 0.1%
2 6
 
< 0.1%
ValueCountFrequency (%)
2 6
 
< 0.1%
1 30
 
< 0.1%
0 73627
> 99.9%

V785
Real number (ℝ)

SKEWED  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001018150225
Minimum0
Maximum3
Zeros73598
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:08.551439image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.036273804
Coefficient of variation (CV)35.62716298
Kurtosis2070.404597
Mean0.001018150225
Median Absolute Deviation (MAD)0
Skewness41.72828742
Sum75
Variance0.001315788856
MonotonicityNot monotonic
2024-03-09T21:19:08.895199image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 73598
99.9%
1 56
 
0.1%
2 8
 
< 0.1%
3 1
 
< 0.1%
ValueCountFrequency (%)
0 73598
99.9%
1 56
 
0.1%
2 8
 
< 0.1%
3 1
 
< 0.1%
ValueCountFrequency (%)
3 1
 
< 0.1%
2 8
 
< 0.1%
1 56
 
0.1%
0 73598
99.9%

V786
Real number (ℝ)

SKEWED  ZEROS 

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009624913457
Minimum0
Maximum15
Zeros73283
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:09.256129image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2051499509
Coefficient of variation (CV)21.31447226
Kurtosis2239.014444
Mean0.009624913457
Median Absolute Deviation (MAD)0
Skewness41.86179404
Sum709
Variance0.04208650235
MonotonicityNot monotonic
2024-03-09T21:19:09.647707image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 73283
99.5%
1 264
 
0.4%
2 62
 
0.1%
3 23
 
< 0.1%
4 6
 
< 0.1%
8 4
 
< 0.1%
5 4
 
< 0.1%
10 4
 
< 0.1%
7 3
 
< 0.1%
12 3
 
< 0.1%
Other values (5) 7
 
< 0.1%
ValueCountFrequency (%)
0 73283
99.5%
1 264
 
0.4%
2 62
 
0.1%
3 23
 
< 0.1%
4 6
 
< 0.1%
ValueCountFrequency (%)
15 1
 
< 0.1%
14 1
 
< 0.1%
13 2
< 0.1%
12 3
< 0.1%
10 4
< 0.1%

V787
Real number (ℝ)

SKEWED  ZEROS 

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009584187448
Minimum0
Maximum17
Zeros73269
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:09.991874image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum17
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2036575219
Coefficient of variation (CV)21.24932583
Kurtosis2542.677304
Mean0.009584187448
Median Absolute Deviation (MAD)0
Skewness43.69318062
Sum706
Variance0.04147638625
MonotonicityNot monotonic
2024-03-09T21:19:10.492317image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 73269
99.5%
1 293
 
0.4%
2 52
 
0.1%
3 14
 
< 0.1%
4 7
 
< 0.1%
7 7
 
< 0.1%
5 4
 
< 0.1%
9 4
 
< 0.1%
8 3
 
< 0.1%
6 3
 
< 0.1%
Other values (5) 7
 
< 0.1%
ValueCountFrequency (%)
0 73269
99.5%
1 293
 
0.4%
2 52
 
0.1%
3 14
 
< 0.1%
4 7
 
< 0.1%
ValueCountFrequency (%)
17 1
< 0.1%
15 2
< 0.1%
14 1
< 0.1%
11 1
< 0.1%
10 2
< 0.1%

V788
Real number (ℝ)

SKEWED  ZEROS 

Distinct24
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01920910091
Minimum0
Maximum32
Zeros73015
Zeros (%)99.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:10.805659image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum32
Range32
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3826172485
Coefficient of variation (CV)19.9185402
Kurtosis2672.706482
Mean0.01920910091
Median Absolute Deviation (MAD)0
Skewness45.66522469
Sum1415
Variance0.1463959589
MonotonicityNot monotonic
2024-03-09T21:19:11.048599image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 73015
99.1%
1 442
 
0.6%
2 103
 
0.1%
3 32
 
< 0.1%
4 16
 
< 0.1%
5 15
 
< 0.1%
6 7
 
< 0.1%
7 5
 
< 0.1%
9 4
 
< 0.1%
16 4
 
< 0.1%
Other values (14) 20
 
< 0.1%
ValueCountFrequency (%)
0 73015
99.1%
1 442
 
0.6%
2 103
 
0.1%
3 32
 
< 0.1%
4 16
 
< 0.1%
ValueCountFrequency (%)
32 1
< 0.1%
27 2
< 0.1%
25 1
< 0.1%
24 1
< 0.1%
23 1
< 0.1%

V789
Real number (ℝ)

SKEWED  ZEROS 

Distinct17
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01943988162
Minimum0
Maximum66
Zeros72936
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:11.381655image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum66
Range66
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3691888778
Coefficient of variation (CV)18.99131306
Kurtosis14330.28827
Mean0.01943988162
Median Absolute Deviation (MAD)0
Skewness91.09386096
Sum1432
Variance0.1363004275
MonotonicityNot monotonic
2024-03-09T21:19:11.605393image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 72936
99.0%
1 488
 
0.7%
2 118
 
0.2%
3 48
 
0.1%
4 19
 
< 0.1%
6 12
 
< 0.1%
5 12
 
< 0.1%
8 9
 
< 0.1%
7 6
 
< 0.1%
9 5
 
< 0.1%
Other values (7) 10
 
< 0.1%
ValueCountFrequency (%)
0 72936
99.0%
1 488
 
0.7%
2 118
 
0.2%
3 48
 
0.1%
4 19
 
< 0.1%
ValueCountFrequency (%)
66 1
 
< 0.1%
20 2
< 0.1%
16 1
 
< 0.1%
15 1
 
< 0.1%
13 3
< 0.1%

V790
Real number (ℝ)

SKEWED  ZEROS 

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02036300449
Minimum0
Maximum97
Zeros72898
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:11.824572image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum97
Range97
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4491076635
Coefficient of variation (CV)22.05507854
Kurtosis29702.05514
Mean0.02036300449
Median Absolute Deviation (MAD)0
Skewness143.4520505
Sum1500
Variance0.2016976934
MonotonicityNot monotonic
2024-03-09T21:19:12.045244image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 72898
99.0%
1 511
 
0.7%
2 126
 
0.2%
3 57
 
0.1%
4 23
 
< 0.1%
5 12
 
< 0.1%
7 9
 
< 0.1%
8 8
 
< 0.1%
6 6
 
< 0.1%
18 3
 
< 0.1%
Other values (5) 10
 
< 0.1%
ValueCountFrequency (%)
0 72898
99.0%
1 511
 
0.7%
2 126
 
0.2%
3 57
 
0.1%
4 23
 
< 0.1%
ValueCountFrequency (%)
97 1
 
< 0.1%
18 3
< 0.1%
14 2
< 0.1%
12 2
< 0.1%
10 3
< 0.1%

V791
Real number (ℝ)

SKEWED  ZEROS 

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03980288612
Minimum0
Maximum163
Zeros72464
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:12.273161image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum163
Range163
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7886141134
Coefficient of variation (CV)19.81298821
Kurtosis25017.93579
Mean0.03980288612
Median Absolute Deviation (MAD)0
Skewness128.6092715
Sum2932
Variance0.6219122198
MonotonicityNot monotonic
2024-03-09T21:19:12.524810image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 72464
98.4%
1 758
 
1.0%
2 185
 
0.3%
3 86
 
0.1%
4 45
 
0.1%
5 29
 
< 0.1%
6 18
 
< 0.1%
7 17
 
< 0.1%
9 13
 
< 0.1%
10 8
 
< 0.1%
Other values (16) 40
 
0.1%
ValueCountFrequency (%)
0 72464
98.4%
1 758
 
1.0%
2 185
 
0.3%
3 86
 
0.1%
4 45
 
0.1%
ValueCountFrequency (%)
163 1
< 0.1%
33 1
< 0.1%
32 2
< 0.1%
31 1
< 0.1%
29 1
< 0.1%

V792
Real number (ℝ)

SKEWED  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0002850820629
Minimum0
Maximum2
Zeros73644
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:12.747077image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01842028074
Coefficient of variation (CV)64.61395906
Kurtosis5770.902042
Mean0.0002850820629
Median Absolute Deviation (MAD)0
Skewness71.63282166
Sum21
Variance0.0003393067426
MonotonicityNot monotonic
2024-03-09T21:19:12.968757image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 73644
> 99.9%
1 17
 
< 0.1%
2 2
 
< 0.1%
ValueCountFrequency (%)
0 73644
> 99.9%
1 17
 
< 0.1%
2 2
 
< 0.1%
ValueCountFrequency (%)
2 2
 
< 0.1%
1 17
 
< 0.1%
0 73644
> 99.9%

V793
Real number (ℝ)

SKEWED  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0003258080719
Minimum0
Maximum2
Zeros73640
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:13.205937image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0187844985
Coefficient of variation (CV)57.6551047
Kurtosis4136.331043
Mean0.0003258080719
Median Absolute Deviation (MAD)0
Skewness61.39355076
Sum24
Variance0.0003528573838
MonotonicityNot monotonic
2024-03-09T21:19:13.429652image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 73640
> 99.9%
1 22
 
< 0.1%
2 1
 
< 0.1%
ValueCountFrequency (%)
0 73640
> 99.9%
1 22
 
< 0.1%
2 1
 
< 0.1%
ValueCountFrequency (%)
2 1
 
< 0.1%
1 22
 
< 0.1%
0 73640
> 99.9%

V794
Real number (ℝ)

SKEWED  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0006108901348
Minimum0
Maximum3
Zeros73624
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:13.635831image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02829456705
Coefficient of variation (CV)46.31694873
Kurtosis3783.877715
Mean0.0006108901348
Median Absolute Deviation (MAD)0
Skewness55.67202268
Sum45
Variance0.0008005825248
MonotonicityNot monotonic
2024-03-09T21:19:13.824203image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 73624
99.9%
1 34
 
< 0.1%
2 4
 
< 0.1%
3 1
 
< 0.1%
ValueCountFrequency (%)
0 73624
99.9%
1 34
 
< 0.1%
2 4
 
< 0.1%
3 1
 
< 0.1%
ValueCountFrequency (%)
3 1
 
< 0.1%
2 4
 
< 0.1%
1 34
 
< 0.1%
0 73624
99.9%

V795
Real number (ℝ)

SKEWED  ZEROS 

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.020050772
Minimum0
Maximum318
Zeros53946
Zeros (%)73.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:14.072251image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum318
Range318
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.636613647
Coefficient of variation (CV)4.545473397
Kurtosis1331.950685
Mean1.020050772
Median Absolute Deviation (MAD)0
Skewness27.63938776
Sum75140
Variance21.49818611
MonotonicityNot monotonic
2024-03-09T21:19:14.368185image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53946
73.2%
1 8101
 
11.0%
2 3933
 
5.3%
3 2159
 
2.9%
4 1365
 
1.9%
5 961
 
1.3%
6 656
 
0.9%
7 486
 
0.7%
8 366
 
0.5%
9 268
 
0.4%
Other values (90) 1422
 
1.9%
ValueCountFrequency (%)
0 53946
73.2%
1 8101
 
11.0%
2 3933
 
5.3%
3 2159
 
2.9%
4 1365
 
1.9%
ValueCountFrequency (%)
318 1
< 0.1%
303 1
< 0.1%
297 1
< 0.1%
263 1
< 0.1%
237 1
< 0.1%

V796
Real number (ℝ)

SKEWED  ZEROS 

Distinct101
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.182384644
Minimum0
Maximum494
Zeros53249
Zeros (%)72.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:14.645623image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum494
Range494
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.469666591
Coefficient of variation (CV)4.625962136
Kurtosis2200.127757
Mean1.182384644
Median Absolute Deviation (MAD)0
Skewness34.42286204
Sum87098
Variance29.91725262
MonotonicityNot monotonic
2024-03-09T21:19:14.913190image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53249
72.3%
1 7840
 
10.6%
2 3846
 
5.2%
3 2302
 
3.1%
4 1521
 
2.1%
5 1015
 
1.4%
6 724
 
1.0%
7 567
 
0.8%
8 434
 
0.6%
9 365
 
0.5%
Other values (91) 1800
 
2.4%
ValueCountFrequency (%)
0 53249
72.3%
1 7840
 
10.6%
2 3846
 
5.2%
3 2302
 
3.1%
4 1521
 
2.1%
ValueCountFrequency (%)
494 1
< 0.1%
385 1
< 0.1%
383 1
< 0.1%
379 1
< 0.1%
326 1
< 0.1%

V797
Real number (ℝ)

SKEWED  ZEROS 

Distinct156
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.202435415
Minimum0
Maximum757
Zeros47898
Zeros (%)65.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:15.180174image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile10
Maximum757
Range757
Interquartile range (IQR)1

Descriptive statistics

Standard deviation9.938107236
Coefficient of variation (CV)4.512326294
Kurtosis1760.046301
Mean2.202435415
Median Absolute Deviation (MAD)0
Skewness31.42122762
Sum162238
Variance98.76597544
MonotonicityNot monotonic
2024-03-09T21:19:15.708176image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 47898
65.0%
1 7666
 
10.4%
2 4535
 
6.2%
3 2860
 
3.9%
4 1961
 
2.7%
5 1457
 
2.0%
6 1100
 
1.5%
7 844
 
1.1%
8 683
 
0.9%
9 569
 
0.8%
Other values (146) 4090
 
5.6%
ValueCountFrequency (%)
0 47898
65.0%
1 7666
 
10.4%
2 4535
 
6.2%
3 2860
 
3.9%
4 1961
 
2.7%
ValueCountFrequency (%)
757 1
< 0.1%
701 1
< 0.1%
682 2
< 0.1%
563 1
< 0.1%
410 1
< 0.1%

V798
Real number (ℝ)

SKEWED  ZEROS 

Distinct186
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7259411102
Minimum0
Maximum1104
Zeros72176
Zeros (%)98.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:16.305711image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1104
Range1104
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.72371328
Coefficient of variation (CV)17.52719759
Kurtosis2478.018352
Mean0.7259411102
Median Absolute Deviation (MAD)0
Skewness43.04485155
Sum53475
Variance161.8928796
MonotonicityNot monotonic
2024-03-09T21:19:16.746523image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72176
98.0%
1 319
 
0.4%
2 97
 
0.1%
3 42
 
0.1%
13 38
 
0.1%
16 35
 
< 0.1%
17 33
 
< 0.1%
4 33
 
< 0.1%
19 32
 
< 0.1%
18 31
 
< 0.1%
Other values (176) 827
 
1.1%
ValueCountFrequency (%)
0 72176
98.0%
1 319
 
0.4%
2 97
 
0.1%
3 42
 
0.1%
4 33
 
< 0.1%
ValueCountFrequency (%)
1104 1
< 0.1%
847 1
< 0.1%
839 1
< 0.1%
806 1
< 0.1%
738 1
< 0.1%

V799
Real number (ℝ)

SKEWED  ZEROS 

Distinct187
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8649797049
Minimum0
Maximum1362
Zeros72120
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:17.322610image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1362
Range1362
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.0164843
Coefficient of variation (CV)19.67269776
Kurtosis2915.900389
Mean0.8649797049
Median Absolute Deviation (MAD)0
Skewness47.70553144
Sum63717
Variance289.5607381
MonotonicityNot monotonic
2024-03-09T21:19:17.943601image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72120
97.9%
1 368
 
0.5%
2 96
 
0.1%
3 49
 
0.1%
5 34
 
< 0.1%
22 33
 
< 0.1%
21 31
 
< 0.1%
20 30
 
< 0.1%
27 30
 
< 0.1%
18 29
 
< 0.1%
Other values (177) 843
 
1.1%
ValueCountFrequency (%)
0 72120
97.9%
1 368
 
0.5%
2 96
 
0.1%
3 49
 
0.1%
4 21
 
< 0.1%
ValueCountFrequency (%)
1362 1
< 0.1%
1319 1
< 0.1%
1293 1
< 0.1%
1215 1
< 0.1%
1111 1
< 0.1%

V800
Real number (ℝ)

SKEWED  ZEROS 

Distinct325
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.085320989
Minimum0
Maximum7715
Zeros71250
Zeros (%)96.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:18.490147image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7715
Range7715
Interquartile range (IQR)0

Descriptive statistics

Standard deviation50.05620131
Coefficient of variation (CV)24.00407495
Kurtosis13977.81274
Mean2.085320989
Median Absolute Deviation (MAD)0
Skewness101.4594233
Sum153611
Variance2505.62329
MonotonicityNot monotonic
2024-03-09T21:19:19.117080image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71250
96.7%
1 890
 
1.2%
2 227
 
0.3%
3 90
 
0.1%
4 45
 
0.1%
5 35
 
< 0.1%
6 29
 
< 0.1%
36 24
 
< 0.1%
22 23
 
< 0.1%
8 22
 
< 0.1%
Other values (315) 1028
 
1.4%
ValueCountFrequency (%)
0 71250
96.7%
1 890
 
1.2%
2 227
 
0.3%
3 90
 
0.1%
4 45
 
0.1%
ValueCountFrequency (%)
7715 1
< 0.1%
7220 1
< 0.1%
2806 1
< 0.1%
2710 1
< 0.1%
2072 1
< 0.1%

V801
Real number (ℝ)

SKEWED  ZEROS 

Distinct339
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.432197983
Minimum0
Maximum7972
Zeros71236
Zeros (%)96.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:19.662558image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7972
Range7972
Interquartile range (IQR)0

Descriptive statistics

Standard deviation58.80612712
Coefficient of variation (CV)24.17818267
Kurtosis9158.14744
Mean2.432197983
Median Absolute Deviation (MAD)0
Skewness81.78439116
Sum179163
Variance3458.160586
MonotonicityNot monotonic
2024-03-09T21:19:21.020288image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71236
96.7%
1 846
 
1.1%
2 232
 
0.3%
3 100
 
0.1%
4 63
 
0.1%
5 49
 
0.1%
6 37
 
0.1%
10 26
 
< 0.1%
9 24
 
< 0.1%
17 20
 
< 0.1%
Other values (329) 1030
 
1.4%
ValueCountFrequency (%)
0 71236
96.7%
1 846
 
1.1%
2 232
 
0.3%
3 100
 
0.1%
4 63
 
0.1%
ValueCountFrequency (%)
7972 1
< 0.1%
7523 1
< 0.1%
3538 1
< 0.1%
3398 1
< 0.1%
3012 1
< 0.1%

V802
Real number (ℝ)

SKEWED  ZEROS 

Distinct140
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4201159334
Minimum0
Maximum887
Zeros72792
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:21.343094image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum887
Range887
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.108774695
Coefficient of variation (CV)21.68157399
Kurtosis2017.00398
Mean0.4201159334
Median Absolute Deviation (MAD)0
Skewness37.44373181
Sum30947
Variance82.96977644
MonotonicityNot monotonic
2024-03-09T21:19:21.660362image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72792
98.8%
1 265
 
0.4%
2 66
 
0.1%
3 36
 
< 0.1%
12 18
 
< 0.1%
9 17
 
< 0.1%
10 16
 
< 0.1%
6 15
 
< 0.1%
4 15
 
< 0.1%
13 14
 
< 0.1%
Other values (130) 409
 
0.6%
ValueCountFrequency (%)
0 72792
98.8%
1 265
 
0.4%
2 66
 
0.1%
3 36
 
< 0.1%
4 15
 
< 0.1%
ValueCountFrequency (%)
887 1
< 0.1%
388 1
< 0.1%
380 1
< 0.1%
376 1
< 0.1%
375 1
< 0.1%

V803
Real number (ℝ)

SKEWED  ZEROS 

Distinct154
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4953911733
Minimum0
Maximum829
Zeros72739
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:21.976436image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum829
Range829
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.32672263
Coefficient of variation (CV)22.86419953
Kurtosis1427.527819
Mean0.4953911733
Median Absolute Deviation (MAD)0
Skewness34.57829874
Sum36492
Variance128.2946456
MonotonicityNot monotonic
2024-03-09T21:19:22.293300image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72739
98.7%
1 320
 
0.4%
2 78
 
0.1%
3 30
 
< 0.1%
20 16
 
< 0.1%
9 16
 
< 0.1%
5 16
 
< 0.1%
10 15
 
< 0.1%
7 15
 
< 0.1%
30 14
 
< 0.1%
Other values (144) 404
 
0.5%
ValueCountFrequency (%)
0 72739
98.7%
1 320
 
0.4%
2 78
 
0.1%
3 30
 
< 0.1%
4 14
 
< 0.1%
ValueCountFrequency (%)
829 1
< 0.1%
573 1
< 0.1%
559 1
< 0.1%
527 1
< 0.1%
516 1
< 0.1%

V804
Real number (ℝ)

SKEWED  ZEROS 

Distinct184
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6182072411
Minimum0
Maximum1910
Zeros72763
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:22.619452image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1910
Range1910
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.61193718
Coefficient of variation (CV)23.63598517
Kurtosis5350.983102
Mean0.6182072411
Median Absolute Deviation (MAD)0
Skewness59.21878325
Sum45539
Variance213.5087082
MonotonicityNot monotonic
2024-03-09T21:19:22.975792image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72763
98.8%
1 261
 
0.4%
2 64
 
0.1%
3 35
 
< 0.1%
4 19
 
< 0.1%
12 17
 
< 0.1%
10 14
 
< 0.1%
5 13
 
< 0.1%
9 12
 
< 0.1%
21 12
 
< 0.1%
Other values (174) 453
 
0.6%
ValueCountFrequency (%)
0 72763
98.8%
1 261
 
0.4%
2 64
 
0.1%
3 35
 
< 0.1%
4 19
 
< 0.1%
ValueCountFrequency (%)
1910 1
< 0.1%
966 1
< 0.1%
931 1
< 0.1%
925 1
< 0.1%
698 1
< 0.1%

V805
Real number (ℝ)

SKEWED  ZEROS 

Distinct189
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6622727828
Minimum0
Maximum1710
Zeros72792
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:23.600339image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1710
Range1710
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.30083751
Coefficient of variation (CV)24.61347943
Kurtosis3456.206713
Mean0.6622727828
Median Absolute Deviation (MAD)0
Skewness51.30540279
Sum48785
Variance265.7173037
MonotonicityNot monotonic
2024-03-09T21:19:24.184582image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72792
98.8%
1 251
 
0.3%
2 50
 
0.1%
3 33
 
< 0.1%
5 19
 
< 0.1%
4 17
 
< 0.1%
6 17
 
< 0.1%
22 16
 
< 0.1%
12 15
 
< 0.1%
11 15
 
< 0.1%
Other values (179) 438
 
0.6%
ValueCountFrequency (%)
0 72792
98.8%
1 251
 
0.3%
2 50
 
0.1%
3 33
 
< 0.1%
4 17
 
< 0.1%
ValueCountFrequency (%)
1710 1
< 0.1%
1188 1
< 0.1%
940 1
< 0.1%
901 1
< 0.1%
876 1
< 0.1%

V806
Real number (ℝ)

SKEWED  ZEROS 

Distinct255
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.619877007
Minimum0
Maximum3690
Zeros70689
Zeros (%)96.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:24.641390image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3690
Range3690
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27.66717121
Coefficient of variation (CV)17.07979747
Kurtosis9148.411213
Mean1.619877007
Median Absolute Deviation (MAD)0
Skewness82.41624041
Sum119325
Variance765.4723626
MonotonicityNot monotonic
2024-03-09T21:19:25.031155image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70689
96.0%
1 495
 
0.7%
2 196
 
0.3%
4 83
 
0.1%
3 81
 
0.1%
10 73
 
0.1%
11 68
 
0.1%
9 65
 
0.1%
7 64
 
0.1%
8 63
 
0.1%
Other values (245) 1786
 
2.4%
ValueCountFrequency (%)
0 70689
96.0%
1 495
 
0.7%
2 196
 
0.3%
3 81
 
0.1%
4 83
 
0.1%
ValueCountFrequency (%)
3690 1
< 0.1%
2969 1
< 0.1%
2911 1
< 0.1%
2747 1
< 0.1%
871 1
< 0.1%

V807
Real number (ℝ)

SKEWED  ZEROS 

Distinct291
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.971369616
Minimum0
Maximum6544
Zeros70715
Zeros (%)96.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:25.526727image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6544
Range6544
Interquartile range (IQR)0

Descriptive statistics

Standard deviation39.3800245
Coefficient of variation (CV)19.97597213
Kurtosis13304.46712
Mean1.971369616
Median Absolute Deviation (MAD)0
Skewness97.79430018
Sum145217
Variance1550.78633
MonotonicityNot monotonic
2024-03-09T21:19:25.869888image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70715
96.0%
1 551
 
0.7%
2 136
 
0.2%
3 78
 
0.1%
12 66
 
0.1%
8 63
 
0.1%
6 63
 
0.1%
7 62
 
0.1%
10 61
 
0.1%
4 61
 
0.1%
Other values (281) 1807
 
2.5%
ValueCountFrequency (%)
0 70715
96.0%
1 551
 
0.7%
2 136
 
0.2%
3 78
 
0.1%
4 61
 
0.1%
ValueCountFrequency (%)
6544 1
< 0.1%
4087 1
< 0.1%
3424 1
< 0.1%
3032 1
< 0.1%
1637 1
< 0.1%

V808
Real number (ℝ)

SKEWED  ZEROS 

Distinct173
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5197724774
Minimum0
Maximum921
Zeros72558
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:26.139838image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum921
Range921
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.2877101
Coefficient of variation (CV)17.86879934
Kurtosis2456.613751
Mean0.5197724774
Median Absolute Deviation (MAD)0
Skewness39.52993435
Sum38288
Variance86.2615589
MonotonicityNot monotonic
2024-03-09T21:19:26.425183image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72558
98.5%
1 349
 
0.5%
2 66
 
0.1%
3 39
 
0.1%
4 29
 
< 0.1%
5 25
 
< 0.1%
18 16
 
< 0.1%
20 16
 
< 0.1%
13 15
 
< 0.1%
12 15
 
< 0.1%
Other values (163) 535
 
0.7%
ValueCountFrequency (%)
0 72558
98.5%
1 349
 
0.5%
2 66
 
0.1%
3 39
 
0.1%
4 29
 
< 0.1%
ValueCountFrequency (%)
921 1
< 0.1%
684 1
< 0.1%
505 1
< 0.1%
497 1
< 0.1%
492 1
< 0.1%

V809
Real number (ℝ)

SKEWED  ZEROS 

Distinct194
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6287417021
Minimum0
Maximum773
Zeros72571
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:26.778600image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum773
Range773
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.20375782
Coefficient of variation (CV)17.81933309
Kurtosis1399.355006
Mean0.6287417021
Median Absolute Deviation (MAD)0
Skewness32.35654675
Sum46315
Variance125.5241892
MonotonicityNot monotonic
2024-03-09T21:19:27.425491image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72571
98.5%
1 313
 
0.4%
2 82
 
0.1%
3 41
 
0.1%
4 28
 
< 0.1%
17 21
 
< 0.1%
8 18
 
< 0.1%
6 14
 
< 0.1%
7 14
 
< 0.1%
9 14
 
< 0.1%
Other values (184) 547
 
0.7%
ValueCountFrequency (%)
0 72571
98.5%
1 313
 
0.4%
2 82
 
0.1%
3 41
 
0.1%
4 28
 
< 0.1%
ValueCountFrequency (%)
773 1
< 0.1%
655 1
< 0.1%
629 1
< 0.1%
625 1
< 0.1%
619 1
< 0.1%

V810
Real number (ℝ)

ZEROS 

Distinct429
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.55396875
Minimum0
Maximum1981
Zeros68978
Zeros (%)93.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:27.851171image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum1981
Range1981
Interquartile range (IQR)0

Descriptive statistics

Standard deviation33.01122118
Coefficient of variation (CV)7.248890582
Kurtosis574.128698
Mean4.55396875
Median Absolute Deviation (MAD)0
Skewness17.17997996
Sum335459
Variance1089.740724
MonotonicityNot monotonic
2024-03-09T21:19:28.357738image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68978
93.6%
1 680
 
0.9%
2 168
 
0.2%
3 74
 
0.1%
18 73
 
0.1%
20 71
 
0.1%
17 69
 
0.1%
25 68
 
0.1%
24 67
 
0.1%
22 63
 
0.1%
Other values (419) 3352
 
4.6%
ValueCountFrequency (%)
0 68978
93.6%
1 680
 
0.9%
2 168
 
0.2%
3 74
 
0.1%
4 37
 
0.1%
ValueCountFrequency (%)
1981 1
< 0.1%
1794 1
< 0.1%
1708 1
< 0.1%
1589 1
< 0.1%
865 1
< 0.1%

V811
Real number (ℝ)

SKEWED  ZEROS 

Distinct441
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.375643132
Minimum0
Maximum2309
Zeros69015
Zeros (%)93.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:28.783940image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum2309
Range2309
Interquartile range (IQR)0

Descriptive statistics

Standard deviation34.85388355
Coefficient of variation (CV)7.965431024
Kurtosis875.1889078
Mean4.375643132
Median Absolute Deviation (MAD)0
Skewness21.68851325
Sum322323
Variance1214.793198
MonotonicityNot monotonic
2024-03-09T21:19:29.291040image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69015
93.7%
1 626
 
0.8%
2 172
 
0.2%
19 83
 
0.1%
3 80
 
0.1%
23 78
 
0.1%
29 73
 
0.1%
25 70
 
0.1%
27 69
 
0.1%
17 69
 
0.1%
Other values (431) 3328
 
4.5%
ValueCountFrequency (%)
0 69015
93.7%
1 626
 
0.8%
2 172
 
0.2%
3 80
 
0.1%
4 54
 
0.1%
ValueCountFrequency (%)
2309 1
< 0.1%
2109 1
< 0.1%
2042 1
< 0.1%
1790 1
< 0.1%
1328 1
< 0.1%

V812
Real number (ℝ)

SKEWED  ZEROS 

Distinct349
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.359569933
Minimum0
Maximum5016
Zeros70716
Zeros (%)96.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:29.672209image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5016
Range5016
Interquartile range (IQR)0

Descriptive statistics

Standard deviation39.46914051
Coefficient of variation (CV)16.72726032
Kurtosis6780.77408
Mean2.359569933
Median Absolute Deviation (MAD)0
Skewness66.68906667
Sum173813
Variance1557.813052
MonotonicityNot monotonic
2024-03-09T21:19:29.952245image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70716
96.0%
1 652
 
0.9%
2 166
 
0.2%
3 84
 
0.1%
10 66
 
0.1%
14 65
 
0.1%
11 64
 
0.1%
13 62
 
0.1%
8 61
 
0.1%
7 60
 
0.1%
Other values (339) 1667
 
2.3%
ValueCountFrequency (%)
0 70716
96.0%
1 652
 
0.9%
2 166
 
0.2%
3 84
 
0.1%
4 52
 
0.1%
ValueCountFrequency (%)
5016 1
< 0.1%
3959 1
< 0.1%
3668 1
< 0.1%
3452 1
< 0.1%
924 1
< 0.1%

V813
Real number (ℝ)

SKEWED  ZEROS 

Distinct382
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.870545593
Minimum0
Maximum5313
Zeros70673
Zeros (%)95.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:30.219581image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5313
Range5313
Interquartile range (IQR)0

Descriptive statistics

Standard deviation47.86237481
Coefficient of variation (CV)16.67361596
Kurtosis4753.077048
Mean2.870545593
Median Absolute Deviation (MAD)0
Skewness55.02521931
Sum211453
Variance2290.806922
MonotonicityNot monotonic
2024-03-09T21:19:30.515492image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70673
95.9%
1 663
 
0.9%
2 176
 
0.2%
3 98
 
0.1%
4 65
 
0.1%
12 63
 
0.1%
9 63
 
0.1%
10 61
 
0.1%
11 59
 
0.1%
13 58
 
0.1%
Other values (372) 1684
 
2.3%
ValueCountFrequency (%)
0 70673
95.9%
1 663
 
0.9%
2 176
 
0.2%
3 98
 
0.1%
4 65
 
0.1%
ValueCountFrequency (%)
5313 1
< 0.1%
4683 1
< 0.1%
4040 1
< 0.1%
3886 1
< 0.1%
1968 2
< 0.1%

V814
Real number (ℝ)

SKEWED  ZEROS 

Distinct569
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.132861817
Minimum0
Maximum17832
Zeros67779
Zeros (%)92.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:30.785065image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum17832
Range17832
Interquartile range (IQR)0

Descriptive statistics

Standard deviation164.6634712
Coefficient of variation (CV)20.24668252
Kurtosis5826.778598
Mean8.132861817
Median Absolute Deviation (MAD)0
Skewness65.42407385
Sum599091
Variance27114.05874
MonotonicityNot monotonic
2024-03-09T21:19:31.056113image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67779
92.0%
1 1549
 
2.1%
2 689
 
0.9%
3 379
 
0.5%
4 263
 
0.4%
5 183
 
0.2%
6 114
 
0.2%
7 108
 
0.1%
8 103
 
0.1%
9 91
 
0.1%
Other values (559) 2405
 
3.3%
ValueCountFrequency (%)
0 67779
92.0%
1 1549
 
2.1%
2 689
 
0.9%
3 379
 
0.5%
4 263
 
0.4%
ValueCountFrequency (%)
17832 1
< 0.1%
17246 1
< 0.1%
15364 1
< 0.1%
15101 1
< 0.1%
6101 1
< 0.1%

V815
Real number (ℝ)

SKEWED  ZEROS 

Distinct598
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.34351031
Minimum0
Maximum31829
Zeros67819
Zeros (%)92.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:31.448148image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum31829
Range31829
Interquartile range (IQR)0

Descriptive statistics

Standard deviation240.2597351
Coefficient of variation (CV)25.71407609
Kurtosis11296.11155
Mean9.34351031
Median Absolute Deviation (MAD)0
Skewness95.77173635
Sum688271
Variance57724.7403
MonotonicityNot monotonic
2024-03-09T21:19:31.881803image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67819
92.1%
1 1464
 
2.0%
2 708
 
1.0%
3 373
 
0.5%
4 245
 
0.3%
5 189
 
0.3%
6 143
 
0.2%
7 117
 
0.2%
8 92
 
0.1%
10 85
 
0.1%
Other values (588) 2428
 
3.3%
ValueCountFrequency (%)
0 67819
92.1%
1 1464
 
2.0%
2 708
 
1.0%
3 373
 
0.5%
4 245
 
0.3%
ValueCountFrequency (%)
31829 1
< 0.1%
31356 1
< 0.1%
25395 1
< 0.1%
24240 1
< 0.1%
6186 1
< 0.1%

V816
Real number (ℝ)

SKEWED  ZEROS 

Distinct249
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.157528203
Minimum0
Maximum1241
Zeros71640
Zeros (%)97.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:32.249700image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1241
Range1241
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.25626531
Coefficient of variation (CV)14.90785734
Kurtosis1459.898552
Mean1.157528203
Median Absolute Deviation (MAD)0
Skewness31.96689842
Sum85267
Variance297.7786924
MonotonicityNot monotonic
2024-03-09T21:19:32.708909image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71640
97.3%
1 493
 
0.7%
2 150
 
0.2%
3 80
 
0.1%
5 50
 
0.1%
4 44
 
0.1%
10 42
 
0.1%
11 38
 
0.1%
19 34
 
< 0.1%
6 34
 
< 0.1%
Other values (239) 1058
 
1.4%
ValueCountFrequency (%)
0 71640
97.3%
1 493
 
0.7%
2 150
 
0.2%
3 80
 
0.1%
4 44
 
0.1%
ValueCountFrequency (%)
1241 1
< 0.1%
1130 1
< 0.1%
1057 1
< 0.1%
856 1
< 0.1%
853 1
< 0.1%

V817
Real number (ℝ)

SKEWED  ZEROS 

Distinct264
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.304168986
Minimum0
Maximum1726
Zeros71634
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:33.022499image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1726
Range1726
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.71592917
Coefficient of variation (CV)15.88439029
Kurtosis1826.448078
Mean1.304168986
Median Absolute Deviation (MAD)0
Skewness35.86735995
Sum96069
Variance429.1497216
MonotonicityNot monotonic
2024-03-09T21:19:33.267138image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71634
97.2%
1 480
 
0.7%
2 154
 
0.2%
3 81
 
0.1%
4 54
 
0.1%
5 46
 
0.1%
6 38
 
0.1%
17 33
 
< 0.1%
12 33
 
< 0.1%
18 33
 
< 0.1%
Other values (254) 1077
 
1.5%
ValueCountFrequency (%)
0 71634
97.2%
1 480
 
0.7%
2 154
 
0.2%
3 81
 
0.1%
4 54
 
0.1%
ValueCountFrequency (%)
1726 1
< 0.1%
1280 1
< 0.1%
1197 1
< 0.1%
1083 1
< 0.1%
1080 1
< 0.1%

V818
Real number (ℝ)

SKEWED  ZEROS 

Distinct327
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.476263524
Minimum0
Maximum4926
Zeros68299
Zeros (%)92.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:33.572509image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10
Maximum4926
Range4926
Interquartile range (IQR)0

Descriptive statistics

Standard deviation42.85705404
Coefficient of variation (CV)12.3284825
Kurtosis5069.672745
Mean3.476263524
Median Absolute Deviation (MAD)0
Skewness59.49682279
Sum256072
Variance1836.727081
MonotonicityNot monotonic
2024-03-09T21:19:33.850805image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68299
92.7%
1 764
 
1.0%
2 236
 
0.3%
3 132
 
0.2%
12 105
 
0.1%
11 103
 
0.1%
10 103
 
0.1%
17 97
 
0.1%
16 97
 
0.1%
14 96
 
0.1%
Other values (317) 3631
 
4.9%
ValueCountFrequency (%)
0 68299
92.7%
1 764
 
1.0%
2 236
 
0.3%
3 132
 
0.2%
4 91
 
0.1%
ValueCountFrequency (%)
4926 1
< 0.1%
4098 1
< 0.1%
3421 1
< 0.1%
3120 1
< 0.1%
2678 1
< 0.1%

V819
Real number (ℝ)

SKEWED  ZEROS 

Distinct363
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.110014526
Minimum0
Maximum5085
Zeros68348
Zeros (%)92.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:34.133240image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile12
Maximum5085
Range5085
Interquartile range (IQR)0

Descriptive statistics

Standard deviation52.55481506
Coefficient of variation (CV)12.78701443
Kurtosis3910.281824
Mean4.110014526
Median Absolute Deviation (MAD)0
Skewness53.93068241
Sum302756
Variance2762.008586
MonotonicityNot monotonic
2024-03-09T21:19:34.411701image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68348
92.8%
1 740
 
1.0%
2 238
 
0.3%
19 96
 
0.1%
3 92
 
0.1%
23 92
 
0.1%
21 90
 
0.1%
22 90
 
0.1%
14 88
 
0.1%
13 85
 
0.1%
Other values (353) 3704
 
5.0%
ValueCountFrequency (%)
0 68348
92.8%
1 740
 
1.0%
2 238
 
0.3%
3 92
 
0.1%
4 81
 
0.1%
ValueCountFrequency (%)
5085 1
< 0.1%
4601 1
< 0.1%
4042 1
< 0.1%
3947 1
< 0.1%
3521 1
< 0.1%

V820
Real number (ℝ)

SKEWED  ZEROS 

Distinct345
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.993687469
Minimum0
Maximum2800
Zeros69032
Zeros (%)93.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:34.682142image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum2800
Range2800
Interquartile range (IQR)0

Descriptive statistics

Standard deviation30.75151406
Coefficient of variation (CV)10.27211905
Kurtosis2902.941154
Mean2.993687469
Median Absolute Deviation (MAD)0
Skewness40.31431834
Sum220524
Variance945.6556171
MonotonicityNot monotonic
2024-03-09T21:19:34.965074image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69032
93.7%
1 861
 
1.2%
2 263
 
0.4%
3 164
 
0.2%
14 99
 
0.1%
17 94
 
0.1%
8 86
 
0.1%
4 85
 
0.1%
5 82
 
0.1%
15 82
 
0.1%
Other values (335) 2815
 
3.8%
ValueCountFrequency (%)
0 69032
93.7%
1 861
 
1.2%
2 263
 
0.4%
3 164
 
0.2%
4 85
 
0.1%
ValueCountFrequency (%)
2800 1
< 0.1%
2757 1
< 0.1%
2640 1
< 0.1%
1868 1
< 0.1%
1400 1
< 0.1%

V821
Real number (ℝ)

SKEWED  ZEROS 

Distinct377
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.203168483
Minimum0
Maximum2834
Zeros69033
Zeros (%)93.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:35.823671image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum2834
Range2834
Interquartile range (IQR)0

Descriptive statistics

Standard deviation31.74532743
Coefficient of variation (CV)9.91060183
Kurtosis2085.98691
Mean3.203168483
Median Absolute Deviation (MAD)0
Skewness32.95325661
Sum235955
Variance1007.765814
MonotonicityNot monotonic
2024-03-09T21:19:36.072367image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69033
93.7%
1 831
 
1.1%
2 326
 
0.4%
3 136
 
0.2%
4 91
 
0.1%
18 89
 
0.1%
19 86
 
0.1%
15 83
 
0.1%
13 81
 
0.1%
12 80
 
0.1%
Other values (367) 2827
 
3.8%
ValueCountFrequency (%)
0 69033
93.7%
1 831
 
1.1%
2 326
 
0.4%
3 136
 
0.2%
4 91
 
0.1%
ValueCountFrequency (%)
2834 1
< 0.1%
2801 1
< 0.1%
1912 1
< 0.1%
1384 1
< 0.1%
902 1
< 0.1%

V822
Real number (ℝ)

SKEWED  ZEROS 

Distinct306
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.245292752
Minimum0
Maximum3209
Zeros70715
Zeros (%)96.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:36.338749image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3209
Range3209
Interquartile range (IQR)0

Descriptive statistics

Standard deviation34.32759597
Coefficient of variation (CV)15.28869495
Kurtosis3359.409395
Mean2.245292752
Median Absolute Deviation (MAD)0
Skewness50.06332679
Sum165395
Variance1178.383845
MonotonicityNot monotonic
2024-03-09T21:19:36.622476image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70715
96.0%
1 631
 
0.9%
2 178
 
0.2%
3 80
 
0.1%
5 61
 
0.1%
4 56
 
0.1%
13 47
 
0.1%
16 42
 
0.1%
18 42
 
0.1%
11 41
 
0.1%
Other values (296) 1770
 
2.4%
ValueCountFrequency (%)
0 70715
96.0%
1 631
 
0.9%
2 178
 
0.2%
3 80
 
0.1%
4 56
 
0.1%
ValueCountFrequency (%)
3209 1
< 0.1%
2765 1
< 0.1%
2549 1
< 0.1%
2528 1
< 0.1%
1919 1
< 0.1%

V823
Real number (ℝ)

SKEWED  ZEROS 

Distinct310
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.559955473
Minimum0
Maximum3853
Zeros70700
Zeros (%)96.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:36.962021image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3853
Range3853
Interquartile range (IQR)0

Descriptive statistics

Standard deviation46.24745875
Coefficient of variation (CV)18.0657278
Kurtosis3755.73492
Mean2.559955473
Median Absolute Deviation (MAD)0
Skewness55.10330967
Sum188574
Variance2138.827441
MonotonicityNot monotonic
2024-03-09T21:19:37.422575image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70700
96.0%
1 649
 
0.9%
2 176
 
0.2%
3 90
 
0.1%
5 49
 
0.1%
13 45
 
0.1%
4 42
 
0.1%
6 42
 
0.1%
8 41
 
0.1%
19 40
 
0.1%
Other values (300) 1789
 
2.4%
ValueCountFrequency (%)
0 70700
96.0%
1 649
 
0.9%
2 176
 
0.2%
3 90
 
0.1%
4 42
 
0.1%
ValueCountFrequency (%)
3853 1
< 0.1%
3767 1
< 0.1%
3508 1
< 0.1%
3498 1
< 0.1%
3464 1
< 0.1%

V824
Real number (ℝ)

SKEWED  ZEROS 

Distinct566
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.251944667
Minimum0
Maximum5609
Zeros68026
Zeros (%)92.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:37.858171image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum5609
Range5609
Interquartile range (IQR)0

Descriptive statistics

Standard deviation61.47299022
Coefficient of variation (CV)9.832619049
Kurtosis1990.960681
Mean6.251944667
Median Absolute Deviation (MAD)0
Skewness33.41680418
Sum460537
Variance3778.928527
MonotonicityNot monotonic
2024-03-09T21:19:38.155799image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68026
92.3%
1 1028
 
1.4%
2 382
 
0.5%
3 199
 
0.3%
4 148
 
0.2%
6 98
 
0.1%
5 90
 
0.1%
7 87
 
0.1%
8 78
 
0.1%
10 77
 
0.1%
Other values (556) 3450
 
4.7%
ValueCountFrequency (%)
0 68026
92.3%
1 1028
 
1.4%
2 382
 
0.5%
3 199
 
0.3%
4 148
 
0.2%
ValueCountFrequency (%)
5609 1
< 0.1%
4109 1
< 0.1%
3932 1
< 0.1%
3451 1
< 0.1%
3424 1
< 0.1%

V825
Real number (ℝ)

SKEWED  ZEROS 

Distinct627
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.467005145
Minimum0
Maximum6527
Zeros67959
Zeros (%)92.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:38.628212image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum6527
Range6527
Interquartile range (IQR)0

Descriptive statistics

Standard deviation79.04769081
Coefficient of variation (CV)10.58626441
Kurtosis2175.350088
Mean7.467005145
Median Absolute Deviation (MAD)0
Skewness36.03615978
Sum550042
Variance6248.537422
MonotonicityNot monotonic
2024-03-09T21:19:39.043901image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67959
92.3%
1 1092
 
1.5%
2 365
 
0.5%
3 210
 
0.3%
4 139
 
0.2%
5 119
 
0.2%
6 100
 
0.1%
7 81
 
0.1%
10 72
 
0.1%
11 71
 
0.1%
Other values (617) 3455
 
4.7%
ValueCountFrequency (%)
0 67959
92.3%
1 1092
 
1.5%
2 365
 
0.5%
3 210
 
0.3%
4 139
 
0.2%
ValueCountFrequency (%)
6527 1
< 0.1%
5730 1
< 0.1%
5444 1
< 0.1%
5304 1
< 0.1%
5272 1
< 0.1%

V826
Real number (ℝ)

SKEWED  ZEROS 

Distinct581
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.64089163
Minimum0
Maximum16008
Zeros64299
Zeros (%)87.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:39.474414image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile42
Maximum16008
Range16008
Interquartile range (IQR)0

Descriptive statistics

Standard deviation133.9640066
Coefficient of variation (CV)11.50805376
Kurtosis8787.781064
Mean11.64089163
Median Absolute Deviation (MAD)0
Skewness83.05605375
Sum857503
Variance17946.35507
MonotonicityNot monotonic
2024-03-09T21:19:39.909305image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64299
87.3%
1 1081
 
1.5%
2 543
 
0.7%
3 305
 
0.4%
5 201
 
0.3%
4 193
 
0.3%
6 189
 
0.3%
8 153
 
0.2%
7 147
 
0.2%
12 136
 
0.2%
Other values (571) 6416
 
8.7%
ValueCountFrequency (%)
0 64299
87.3%
1 1081
 
1.5%
2 543
 
0.7%
3 305
 
0.4%
4 193
 
0.3%
ValueCountFrequency (%)
16008 1
< 0.1%
15000 1
< 0.1%
14572 1
< 0.1%
14213 1
< 0.1%
7587 1
< 0.1%

V827
Real number (ℝ)

SKEWED  ZEROS 

Distinct670
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.03976216
Minimum0
Maximum29997
Zeros64271
Zeros (%)87.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:40.273889image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile43
Maximum29997
Range29997
Interquartile range (IQR)0

Descriptive statistics

Standard deviation216.2276425
Coefficient of variation (CV)15.40109014
Kurtosis13686.781
Mean14.03976216
Median Absolute Deviation (MAD)0
Skewness108.7101605
Sum1034211
Variance46754.3934
MonotonicityNot monotonic
2024-03-09T21:19:40.691722image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64271
87.3%
1 1076
 
1.5%
2 542
 
0.7%
3 314
 
0.4%
4 214
 
0.3%
5 168
 
0.2%
10 154
 
0.2%
9 152
 
0.2%
11 140
 
0.2%
14 139
 
0.2%
Other values (660) 6493
 
8.8%
ValueCountFrequency (%)
0 64271
87.3%
1 1076
 
1.5%
2 542
 
0.7%
3 314
 
0.4%
4 214
 
0.3%
ValueCountFrequency (%)
29997 1
< 0.1%
29265 1
< 0.1%
23971 1
< 0.1%
23909 1
< 0.1%
7709 1
< 0.1%

V828
Real number (ℝ)

SKEWED  ZEROS 

Distinct361
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.716940662
Minimum0
Maximum1343
Zeros69325
Zeros (%)94.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:41.089162image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1343
Range1343
Interquartile range (IQR)0

Descriptive statistics

Standard deviation25.10882046
Coefficient of variation (CV)9.241578518
Kurtosis619.6269988
Mean2.716940662
Median Absolute Deviation (MAD)0
Skewness20.00203657
Sum200138
Variance630.4528648
MonotonicityNot monotonic
2024-03-09T21:19:41.532123image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69325
94.1%
1 922
 
1.3%
2 298
 
0.4%
3 170
 
0.2%
4 102
 
0.1%
5 90
 
0.1%
6 85
 
0.1%
7 70
 
0.1%
12 70
 
0.1%
9 69
 
0.1%
Other values (351) 2462
 
3.3%
ValueCountFrequency (%)
0 69325
94.1%
1 922
 
1.3%
2 298
 
0.4%
3 170
 
0.2%
4 102
 
0.1%
ValueCountFrequency (%)
1343 1
< 0.1%
1317 1
< 0.1%
1252 1
< 0.1%
1046 1
< 0.1%
1029 1
< 0.1%

V829
Real number (ℝ)

SKEWED  ZEROS 

Distinct395
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.281566051
Minimum0
Maximum2261
Zeros69318
Zeros (%)94.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:41.832855image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2261
Range2261
Interquartile range (IQR)0

Descriptive statistics

Standard deviation32.32693661
Coefficient of variation (CV)9.851069919
Kurtosis1277.223056
Mean3.281566051
Median Absolute Deviation (MAD)0
Skewness27.17110856
Sum241730
Variance1045.030831
MonotonicityNot monotonic
2024-03-09T21:19:42.133226image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69318
94.1%
1 896
 
1.2%
2 311
 
0.4%
3 173
 
0.2%
4 89
 
0.1%
13 82
 
0.1%
16 70
 
0.1%
5 63
 
0.1%
14 63
 
0.1%
6 62
 
0.1%
Other values (385) 2536
 
3.4%
ValueCountFrequency (%)
0 69318
94.1%
1 896
 
1.2%
2 311
 
0.4%
3 173
 
0.2%
4 89
 
0.1%
ValueCountFrequency (%)
2261 1
< 0.1%
2148 1
< 0.1%
2069 1
< 0.1%
2043 1
< 0.1%
1301 1
< 0.1%

V830
Real number (ℝ)

SKEWED  ZEROS 

Distinct244
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.026118947
Minimum0
Maximum1147
Zeros71929
Zeros (%)97.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:42.417525image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1147
Range1147
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.9490609
Coefficient of variation (CV)16.51763759
Kurtosis1300.013042
Mean1.026118947
Median Absolute Deviation (MAD)0
Skewness30.94318299
Sum75587
Variance287.2706653
MonotonicityNot monotonic
2024-03-09T21:19:42.818989image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71929
97.6%
1 587
 
0.8%
2 174
 
0.2%
3 70
 
0.1%
4 40
 
0.1%
5 33
 
< 0.1%
7 23
 
< 0.1%
9 21
 
< 0.1%
13 21
 
< 0.1%
14 19
 
< 0.1%
Other values (234) 746
 
1.0%
ValueCountFrequency (%)
0 71929
97.6%
1 587
 
0.8%
2 174
 
0.2%
3 70
 
0.1%
4 40
 
0.1%
ValueCountFrequency (%)
1147 1
< 0.1%
1052 1
< 0.1%
1010 1
< 0.1%
905 1
< 0.1%
786 1
< 0.1%

V831
Real number (ℝ)

SKEWED  ZEROS 

Distinct262
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.218467888
Minimum0
Maximum1913
Zeros71927
Zeros (%)97.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:43.238783image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1913
Range1913
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22.74212911
Coefficient of variation (CV)18.66452891
Kurtosis2588.617125
Mean1.218467888
Median Absolute Deviation (MAD)0
Skewness41.90578835
Sum89756
Variance517.2044364
MonotonicityNot monotonic
2024-03-09T21:19:43.589098image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71927
97.6%
1 589
 
0.8%
2 163
 
0.2%
3 77
 
0.1%
5 36
 
< 0.1%
4 36
 
< 0.1%
6 31
 
< 0.1%
8 23
 
< 0.1%
7 20
 
< 0.1%
21 18
 
< 0.1%
Other values (252) 743
 
1.0%
ValueCountFrequency (%)
0 71927
97.6%
1 589
 
0.8%
2 163
 
0.2%
3 77
 
0.1%
4 36
 
< 0.1%
ValueCountFrequency (%)
1913 1
< 0.1%
1865 1
< 0.1%
1773 1
< 0.1%
1689 1
< 0.1%
959 1
< 0.1%

V832
Real number (ℝ)

SKEWED  ZEROS 

Distinct199
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7583182873
Minimum0
Maximum1036
Zeros72172
Zeros (%)98.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:43.905529image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1036
Range1036
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.74130416
Coefficient of variation (CV)16.80205314
Kurtosis1938.818837
Mean0.7583182873
Median Absolute Deviation (MAD)0
Skewness36.76032149
Sum55860
Variance162.3408316
MonotonicityNot monotonic
2024-03-09T21:19:44.247392image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72172
98.0%
1 328
 
0.4%
2 116
 
0.2%
3 50
 
0.1%
16 34
 
< 0.1%
4 33
 
< 0.1%
19 30
 
< 0.1%
14 28
 
< 0.1%
15 27
 
< 0.1%
12 26
 
< 0.1%
Other values (189) 819
 
1.1%
ValueCountFrequency (%)
0 72172
98.0%
1 328
 
0.4%
2 116
 
0.2%
3 50
 
0.1%
4 33
 
< 0.1%
ValueCountFrequency (%)
1036 1
< 0.1%
901 1
< 0.1%
812 1
< 0.1%
809 1
< 0.1%
689 1
< 0.1%

V833
Real number (ℝ)

SKEWED  ZEROS 

Distinct213
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8758263986
Minimum0
Maximum1448
Zeros72150
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:44.539081image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1448
Range1448
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.68817222
Coefficient of variation (CV)17.91242219
Kurtosis2767.765868
Mean0.8758263986
Median Absolute Deviation (MAD)0
Skewness43.0361213
Sum64516
Variance246.1187476
MonotonicityNot monotonic
2024-03-09T21:19:44.905807image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72150
97.9%
1 349
 
0.5%
2 102
 
0.1%
3 65
 
0.1%
4 30
 
< 0.1%
14 27
 
< 0.1%
17 27
 
< 0.1%
19 26
 
< 0.1%
9 25
 
< 0.1%
20 25
 
< 0.1%
Other values (203) 837
 
1.1%
ValueCountFrequency (%)
0 72150
97.9%
1 349
 
0.5%
2 102
 
0.1%
3 65
 
0.1%
4 30
 
< 0.1%
ValueCountFrequency (%)
1448 1
< 0.1%
1355 1
< 0.1%
1207 1
< 0.1%
813 1
< 0.1%
746 1
< 0.1%

V834
Real number (ℝ)

SKEWED  ZEROS 

Distinct383
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.401191915
Minimum0
Maximum18750
Zeros71105
Zeros (%)96.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:45.242634image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum18750
Range18750
Interquartile range (IQR)0

Descriptive statistics

Standard deviation111.9589586
Coefficient of variation (CV)32.91756578
Kurtosis16817.48555
Mean3.401191915
Median Absolute Deviation (MAD)0
Skewness119.2697629
Sum250542
Variance12534.8084
MonotonicityNot monotonic
2024-03-09T21:19:45.555873image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71105
96.5%
1 690
 
0.9%
2 210
 
0.3%
3 104
 
0.1%
4 58
 
0.1%
13 53
 
0.1%
15 47
 
0.1%
5 45
 
0.1%
9 40
 
0.1%
14 38
 
0.1%
Other values (373) 1273
 
1.7%
ValueCountFrequency (%)
0 71105
96.5%
1 690
 
0.9%
2 210
 
0.3%
3 104
 
0.1%
4 58
 
0.1%
ValueCountFrequency (%)
18750 1
< 0.1%
13766 1
< 0.1%
12486 1
< 0.1%
10208 1
< 0.1%
1845 1
< 0.1%

V835
Real number (ℝ)

SKEWED  ZEROS 

Distinct390
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.817818986
Minimum0
Maximum18187
Zeros71122
Zeros (%)96.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:45.774236image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum18187
Range18187
Interquartile range (IQR)0

Descriptive statistics

Standard deviation120.1343359
Coefficient of variation (CV)31.46674484
Kurtosis14426.03016
Mean3.817818986
Median Absolute Deviation (MAD)0
Skewness110.1952534
Sum281232
Variance14432.25866
MonotonicityNot monotonic
2024-03-09T21:19:46.042120image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71122
96.6%
1 663
 
0.9%
2 217
 
0.3%
3 109
 
0.1%
5 52
 
0.1%
4 45
 
0.1%
18 39
 
0.1%
16 38
 
0.1%
9 38
 
0.1%
6 38
 
0.1%
Other values (380) 1302
 
1.8%
ValueCountFrequency (%)
0 71122
96.6%
1 663
 
0.9%
2 217
 
0.3%
3 109
 
0.1%
4 45
 
0.1%
ValueCountFrequency (%)
18187 1
< 0.1%
15783 1
< 0.1%
13717 1
< 0.1%
10927 1
< 0.1%
2887 1
< 0.1%

V836
Real number (ℝ)

SKEWED  ZEROS 

Distinct326
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.554728968
Minimum0
Maximum1741
Zeros69518
Zeros (%)94.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:46.292824image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1741
Range1741
Interquartile range (IQR)0

Descriptive statistics

Standard deviation24.19671849
Coefficient of variation (CV)9.471344629
Kurtosis1295.748902
Mean2.554728968
Median Absolute Deviation (MAD)0
Skewness27.3392301
Sum188189
Variance585.4811858
MonotonicityNot monotonic
2024-03-09T21:19:46.582283image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69518
94.4%
1 790
 
1.1%
2 263
 
0.4%
3 124
 
0.2%
4 78
 
0.1%
24 66
 
0.1%
28 65
 
0.1%
27 65
 
0.1%
31 61
 
0.1%
30 60
 
0.1%
Other values (316) 2573
 
3.5%
ValueCountFrequency (%)
0 69518
94.4%
1 790
 
1.1%
2 263
 
0.4%
3 124
 
0.2%
4 78
 
0.1%
ValueCountFrequency (%)
1741 1
< 0.1%
1650 2
< 0.1%
1240 1
< 0.1%
1103 1
< 0.1%
737 1
< 0.1%

V837
Real number (ℝ)

SKEWED  ZEROS 

Distinct359
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.84502396
Minimum0
Maximum1654
Zeros69458
Zeros (%)94.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:46.864494image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1654
Range1654
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.1776435
Coefficient of variation (CV)9.904184953
Kurtosis912.3111447
Mean2.84502396
Median Absolute Deviation (MAD)0
Skewness24.78654791
Sum209573
Variance793.9795932
MonotonicityNot monotonic
2024-03-09T21:19:47.131361image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69458
94.3%
1 854
 
1.2%
2 258
 
0.4%
3 128
 
0.2%
30 65
 
0.1%
4 62
 
0.1%
28 62
 
0.1%
5 60
 
0.1%
23 60
 
0.1%
31 59
 
0.1%
Other values (349) 2597
 
3.5%
ValueCountFrequency (%)
0 69458
94.3%
1 854
 
1.2%
2 258
 
0.4%
3 128
 
0.2%
4 62
 
0.1%
ValueCountFrequency (%)
1654 1
< 0.1%
1528 2
< 0.1%
1381 1
< 0.1%
1356 1
< 0.1%
1320 1
< 0.1%

V838
Real number (ℝ)

SKEWED  ZEROS 

Distinct422
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.460366806
Minimum0
Maximum4915
Zeros65435
Zeros (%)88.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:47.355520image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile31
Maximum4915
Range4915
Interquartile range (IQR)0

Descriptive statistics

Standard deviation47.53871112
Coefficient of variation (CV)7.358515786
Kurtosis3958.20193
Mean6.460366806
Median Absolute Deviation (MAD)0
Skewness46.98478629
Sum475890
Variance2259.929055
MonotonicityNot monotonic
2024-03-09T21:19:47.624440image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65435
88.8%
1 969
 
1.3%
2 346
 
0.5%
3 172
 
0.2%
20 158
 
0.2%
22 154
 
0.2%
16 136
 
0.2%
15 135
 
0.2%
19 127
 
0.2%
17 124
 
0.2%
Other values (412) 5907
 
8.0%
ValueCountFrequency (%)
0 65435
88.8%
1 969
 
1.3%
2 346
 
0.5%
3 172
 
0.2%
4 101
 
0.1%
ValueCountFrequency (%)
4915 2
< 0.1%
3737 1
< 0.1%
2748 1
< 0.1%
2047 1
< 0.1%
2041 1
< 0.1%

V839
Real number (ℝ)

SKEWED  ZEROS 

Distinct479
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.22541846
Minimum0
Maximum4377
Zeros65407
Zeros (%)88.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:47.892065image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile33
Maximum4377
Range4377
Interquartile range (IQR)0

Descriptive statistics

Standard deviation54.25212475
Coefficient of variation (CV)7.508509722
Kurtosis2451.376015
Mean7.22541846
Median Absolute Deviation (MAD)0
Skewness38.26076262
Sum532246
Variance2943.29304
MonotonicityNot monotonic
2024-03-09T21:19:48.977396image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65407
88.8%
1 989
 
1.3%
2 366
 
0.5%
3 166
 
0.2%
20 141
 
0.2%
17 140
 
0.2%
19 136
 
0.2%
18 133
 
0.2%
22 130
 
0.2%
15 128
 
0.2%
Other values (469) 5927
 
8.0%
ValueCountFrequency (%)
0 65407
88.8%
1 989
 
1.3%
2 366
 
0.5%
3 166
 
0.2%
4 97
 
0.1%
ValueCountFrequency (%)
4377 2
< 0.1%
3946 1
< 0.1%
3742 1
< 0.1%
3689 1
< 0.1%
2894 1
< 0.1%

V840
Real number (ℝ)

SKEWED  ZEROS 

Distinct306
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.54552489
Minimum0
Maximum1474
Zeros71920
Zeros (%)97.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:49.228560image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1474
Range1474
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22.16376935
Coefficient of variation (CV)14.34060978
Kurtosis1213.447343
Mean1.54552489
Median Absolute Deviation (MAD)0
Skewness27.83724028
Sum113848
Variance491.232672
MonotonicityNot monotonic
2024-03-09T21:19:49.522279image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71920
97.6%
1 508
 
0.7%
2 115
 
0.2%
3 51
 
0.1%
4 39
 
0.1%
7 27
 
< 0.1%
8 23
 
< 0.1%
14 22
 
< 0.1%
5 21
 
< 0.1%
10 21
 
< 0.1%
Other values (296) 916
 
1.2%
ValueCountFrequency (%)
0 71920
97.6%
1 508
 
0.7%
2 115
 
0.2%
3 51
 
0.1%
4 39
 
0.1%
ValueCountFrequency (%)
1474 1
< 0.1%
1473 1
< 0.1%
1403 1
< 0.1%
1324 1
< 0.1%
1059 1
< 0.1%

V841
Real number (ℝ)

SKEWED  ZEROS 

Distinct354
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.927847087
Minimum0
Maximum2957
Zeros71941
Zeros (%)97.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:49.800876image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2957
Range2957
Interquartile range (IQR)0

Descriptive statistics

Standard deviation30.70869575
Coefficient of variation (CV)15.92901011
Kurtosis3076.286742
Mean1.927847087
Median Absolute Deviation (MAD)0
Skewness42.57943383
Sum142011
Variance943.0239948
MonotonicityNot monotonic
2024-03-09T21:19:50.068008image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71941
97.7%
1 505
 
0.7%
2 121
 
0.2%
3 41
 
0.1%
4 29
 
< 0.1%
5 27
 
< 0.1%
9 22
 
< 0.1%
8 21
 
< 0.1%
7 19
 
< 0.1%
16 18
 
< 0.1%
Other values (344) 919
 
1.2%
ValueCountFrequency (%)
0 71941
97.7%
1 505
 
0.7%
2 121
 
0.2%
3 41
 
0.1%
4 29
 
< 0.1%
ValueCountFrequency (%)
2957 1
< 0.1%
2837 1
< 0.1%
2243 1
< 0.1%
2227 1
< 0.1%
954 1
< 0.1%

V842
Real number (ℝ)

SKEWED  ZEROS 

Distinct229
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9753471892
Minimum0
Maximum1532
Zeros72185
Zeros (%)98.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:50.339295image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1532
Range1532
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.8671142
Coefficient of variation (CV)17.29344626
Kurtosis2984.703921
Mean0.9753471892
Median Absolute Deviation (MAD)0
Skewness44.76245888
Sum71847
Variance284.4995416
MonotonicityNot monotonic
2024-03-09T21:19:50.625442image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72185
98.0%
1 377
 
0.5%
2 80
 
0.1%
3 37
 
0.1%
28 32
 
< 0.1%
19 31
 
< 0.1%
22 29
 
< 0.1%
18 25
 
< 0.1%
29 25
 
< 0.1%
23 25
 
< 0.1%
Other values (219) 817
 
1.1%
ValueCountFrequency (%)
0 72185
98.0%
1 377
 
0.5%
2 80
 
0.1%
3 37
 
0.1%
4 22
 
< 0.1%
ValueCountFrequency (%)
1532 1
< 0.1%
1415 1
< 0.1%
1352 1
< 0.1%
1079 1
< 0.1%
1077 1
< 0.1%

V843
Real number (ℝ)

SKEWED  ZEROS 

Distinct247
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.104394336
Minimum0
Maximum2504
Zeros72120
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:50.927441image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2504
Range2504
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.92140768
Coefficient of variation (CV)19.8492576
Kurtosis5576.403817
Mean1.104394336
Median Absolute Deviation (MAD)0
Skewness61.16490575
Sum81353
Variance480.5481145
MonotonicityNot monotonic
2024-03-09T21:19:51.210424image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72120
97.9%
1 427
 
0.6%
2 97
 
0.1%
3 32
 
< 0.1%
12 25
 
< 0.1%
18 24
 
< 0.1%
25 24
 
< 0.1%
20 24
 
< 0.1%
23 23
 
< 0.1%
15 23
 
< 0.1%
Other values (237) 844
 
1.1%
ValueCountFrequency (%)
0 72120
97.9%
1 427
 
0.6%
2 97
 
0.1%
3 32
 
< 0.1%
4 15
 
< 0.1%
ValueCountFrequency (%)
2504 1
< 0.1%
2448 1
< 0.1%
1667 1
< 0.1%
1561 1
< 0.1%
1280 1
< 0.1%

V844
Real number (ℝ)

SKEWED  ZEROS 

Distinct323
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.960998059
Minimum0
Maximum2462
Zeros70927
Zeros (%)96.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:51.472336image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2462
Range2462
Interquartile range (IQR)0

Descriptive statistics

Standard deviation26.93465257
Coefficient of variation (CV)13.73517554
Kurtosis3147.980803
Mean1.960998059
Median Absolute Deviation (MAD)0
Skewness44.77312235
Sum144453
Variance725.475509
MonotonicityNot monotonic
2024-03-09T21:19:51.735646image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70927
96.3%
1 602
 
0.8%
2 165
 
0.2%
3 68
 
0.1%
21 46
 
0.1%
24 45
 
0.1%
4 45
 
0.1%
25 44
 
0.1%
16 43
 
0.1%
15 42
 
0.1%
Other values (313) 1636
 
2.2%
ValueCountFrequency (%)
0 70927
96.3%
1 602
 
0.8%
2 165
 
0.2%
3 68
 
0.1%
4 45
 
0.1%
ValueCountFrequency (%)
2462 2
< 0.1%
1907 1
< 0.1%
1778 1
< 0.1%
1717 1
< 0.1%
1631 1
< 0.1%

V845
Real number (ℝ)

SKEWED  ZEROS 

Distinct333
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.17517614
Minimum0
Maximum2210
Zeros70929
Zeros (%)96.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:52.002975image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2210
Range2210
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27.99501868
Coefficient of variation (CV)12.87023068
Kurtosis1717.463441
Mean2.17517614
Median Absolute Deviation (MAD)0
Skewness32.39957229
Sum160230
Variance783.7210709
MonotonicityNot monotonic
2024-03-09T21:19:52.261674image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70929
96.3%
1 586
 
0.8%
2 167
 
0.2%
3 82
 
0.1%
5 49
 
0.1%
10 49
 
0.1%
16 48
 
0.1%
22 39
 
0.1%
13 39
 
0.1%
4 38
 
0.1%
Other values (323) 1637
 
2.2%
ValueCountFrequency (%)
0 70929
96.3%
1 586
 
0.8%
2 167
 
0.2%
3 82
 
0.1%
4 38
 
0.1%
ValueCountFrequency (%)
2210 2
< 0.1%
1808 1
< 0.1%
1314 1
< 0.1%
1270 1
< 0.1%
1241 1
< 0.1%

V846
Real number (ℝ)

SKEWED  ZEROS 

Distinct418
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.021693387
Minimum0
Maximum2454
Zeros70610
Zeros (%)95.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:52.528097image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2454
Range2454
Interquartile range (IQR)0

Descriptive statistics

Standard deviation34.40100927
Coefficient of variation (CV)11.38467901
Kurtosis1369.43712
Mean3.021693387
Median Absolute Deviation (MAD)0
Skewness28.35826211
Sum222587
Variance1183.429439
MonotonicityNot monotonic
2024-03-09T21:19:52.805498image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70610
95.9%
1 550
 
0.7%
2 171
 
0.2%
3 84
 
0.1%
4 58
 
0.1%
5 54
 
0.1%
12 41
 
0.1%
10 39
 
0.1%
15 38
 
0.1%
18 37
 
0.1%
Other values (408) 1981
 
2.7%
ValueCountFrequency (%)
0 70610
95.9%
1 550
 
0.7%
2 171
 
0.2%
3 84
 
0.1%
4 58
 
0.1%
ValueCountFrequency (%)
2454 1
< 0.1%
2436 1
< 0.1%
2239 1
< 0.1%
2180 1
< 0.1%
1210 1
< 0.1%

V847
Real number (ℝ)

SKEWED  ZEROS 

Distinct427
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.347175651
Minimum0
Maximum2703
Zeros70602
Zeros (%)95.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:53.069112image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2703
Range2703
Interquartile range (IQR)0

Descriptive statistics

Standard deviation38.72850065
Coefficient of variation (CV)11.57050143
Kurtosis1184.517715
Mean3.347175651
Median Absolute Deviation (MAD)0
Skewness26.92812588
Sum246563
Variance1499.896763
MonotonicityNot monotonic
2024-03-09T21:19:53.355708image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70602
95.8%
1 543
 
0.7%
2 184
 
0.2%
3 87
 
0.1%
4 50
 
0.1%
5 44
 
0.1%
16 41
 
0.1%
15 41
 
0.1%
22 38
 
0.1%
26 38
 
0.1%
Other values (417) 1995
 
2.7%
ValueCountFrequency (%)
0 70602
95.8%
1 543
 
0.7%
2 184
 
0.2%
3 87
 
0.1%
4 50
 
0.1%
ValueCountFrequency (%)
2703 1
< 0.1%
2460 1
< 0.1%
2459 1
< 0.1%
2336 1
< 0.1%
1181 1
< 0.1%

V848
Real number (ℝ)

SKEWED  ZEROS 

Distinct284
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.531759499
Minimum0
Maximum10358
Zeros71743
Zeros (%)97.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:53.632383image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10358
Range10358
Interquartile range (IQR)0

Descriptive statistics

Standard deviation44.5959073
Coefficient of variation (CV)29.11417055
Kurtosis40263.24137
Mean1.531759499
Median Absolute Deviation (MAD)0
Skewness181.0417721
Sum112834
Variance1988.794948
MonotonicityNot monotonic
2024-03-09T21:19:53.893224image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71743
97.4%
1 559
 
0.8%
2 147
 
0.2%
3 65
 
0.1%
5 34
 
< 0.1%
4 26
 
< 0.1%
13 23
 
< 0.1%
8 22
 
< 0.1%
9 22
 
< 0.1%
6 21
 
< 0.1%
Other values (274) 1001
 
1.4%
ValueCountFrequency (%)
0 71743
97.4%
1 559
 
0.8%
2 147
 
0.2%
3 65
 
0.1%
4 26
 
< 0.1%
ValueCountFrequency (%)
10358 1
< 0.1%
3684 1
< 0.1%
2526 1
< 0.1%
889 1
< 0.1%
561 1
< 0.1%

V849
Real number (ℝ)

SKEWED  ZEROS 

Distinct308
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.76025956
Minimum0
Maximum10874
Zeros71756
Zeros (%)97.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:54.160115image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10874
Range10874
Interquartile range (IQR)0

Descriptive statistics

Standard deviation48.3789025
Coefficient of variation (CV)27.48395952
Kurtosis35405.9976
Mean1.76025956
Median Absolute Deviation (MAD)0
Skewness165.6413085
Sum129666
Variance2340.518207
MonotonicityNot monotonic
2024-03-09T21:19:54.448123image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71756
97.4%
1 515
 
0.7%
2 163
 
0.2%
3 72
 
0.1%
4 40
 
0.1%
5 33
 
< 0.1%
6 27
 
< 0.1%
19 26
 
< 0.1%
20 25
 
< 0.1%
11 22
 
< 0.1%
Other values (298) 984
 
1.3%
ValueCountFrequency (%)
0 71756
97.4%
1 515
 
0.7%
2 163
 
0.2%
3 72
 
0.1%
4 40
 
0.1%
ValueCountFrequency (%)
10874 1
< 0.1%
4024 1
< 0.1%
2585 1
< 0.1%
1102 1
< 0.1%
1033 1
< 0.1%

V850
Real number (ℝ)

ZEROS 

Distinct356
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.993565291
Minimum0
Maximum1042
Zeros71762
Zeros (%)97.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:54.705828image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1042
Range1042
Interquartile range (IQR)0

Descriptive statistics

Standard deviation24.17195346
Coefficient of variation (CV)12.12498711
Kurtosis404.5510574
Mean1.993565291
Median Absolute Deviation (MAD)0
Skewness17.95931193
Sum146852
Variance584.283334
MonotonicityNot monotonic
2024-03-09T21:19:54.975508image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71762
97.4%
1 509
 
0.7%
2 123
 
0.2%
3 44
 
0.1%
4 32
 
< 0.1%
15 25
 
< 0.1%
7 22
 
< 0.1%
5 21
 
< 0.1%
25 20
 
< 0.1%
21 19
 
< 0.1%
Other values (346) 1086
 
1.5%
ValueCountFrequency (%)
0 71762
97.4%
1 509
 
0.7%
2 123
 
0.2%
3 44
 
0.1%
4 32
 
< 0.1%
ValueCountFrequency (%)
1042 1
< 0.1%
1007 1
< 0.1%
954 1
< 0.1%
934 1
< 0.1%
631 1
< 0.1%

V851
Real number (ℝ)

SKEWED  ZEROS 

Distinct365
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.064048437
Minimum0
Maximum1741
Zeros71705
Zeros (%)97.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:55.226867image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1741
Range1741
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27.31869148
Coefficient of variation (CV)13.23548953
Kurtosis842.1361091
Mean2.064048437
Median Absolute Deviation (MAD)0
Skewness23.54497174
Sum152044
Variance746.3109041
MonotonicityNot monotonic
2024-03-09T21:19:55.516095image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71705
97.3%
1 513
 
0.7%
2 172
 
0.2%
3 54
 
0.1%
4 27
 
< 0.1%
5 22
 
< 0.1%
9 21
 
< 0.1%
12 20
 
< 0.1%
11 19
 
< 0.1%
26 19
 
< 0.1%
Other values (355) 1091
 
1.5%
ValueCountFrequency (%)
0 71705
97.3%
1 513
 
0.7%
2 172
 
0.2%
3 54
 
0.1%
4 27
 
< 0.1%
ValueCountFrequency (%)
1741 1
< 0.1%
1709 1
< 0.1%
1379 1
< 0.1%
1275 1
< 0.1%
829 1
< 0.1%

V852
Real number (ℝ)

SKEWED  ZEROS 

Distinct303
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.647706447
Minimum0
Maximum1582
Zeros70970
Zeros (%)96.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:55.784351image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1582
Range1582
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.45609051
Coefficient of variation (CV)12.41488771
Kurtosis1327.202771
Mean1.647706447
Median Absolute Deviation (MAD)0
Skewness28.26122546
Sum121375
Variance418.451639
MonotonicityNot monotonic
2024-03-09T21:19:56.051215image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70970
96.3%
1 742
 
1.0%
2 204
 
0.3%
3 98
 
0.1%
4 61
 
0.1%
5 44
 
0.1%
6 43
 
0.1%
7 38
 
0.1%
11 36
 
< 0.1%
8 35
 
< 0.1%
Other values (293) 1392
 
1.9%
ValueCountFrequency (%)
0 70970
96.3%
1 742
 
1.0%
2 204
 
0.3%
3 98
 
0.1%
4 61
 
0.1%
ValueCountFrequency (%)
1582 1
< 0.1%
1486 1
< 0.1%
1035 1
< 0.1%
930 1
< 0.1%
908 1
< 0.1%

V853
Real number (ℝ)

SKEWED  ZEROS 

Distinct327
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.86799343
Minimum0
Maximum1449
Zeros70929
Zeros (%)96.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:56.318588image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1449
Range1449
Interquartile range (IQR)0

Descriptive statistics

Standard deviation23.81587039
Coefficient of variation (CV)12.74944013
Kurtosis1002.972081
Mean1.86799343
Median Absolute Deviation (MAD)0
Skewness26.18538734
Sum137602
Variance567.1956826
MonotonicityNot monotonic
2024-03-09T21:19:56.591742image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70929
96.3%
1 742
 
1.0%
2 255
 
0.3%
3 105
 
0.1%
4 59
 
0.1%
5 44
 
0.1%
6 41
 
0.1%
18 39
 
0.1%
16 36
 
< 0.1%
7 36
 
< 0.1%
Other values (317) 1377
 
1.9%
ValueCountFrequency (%)
0 70929
96.3%
1 742
 
1.0%
2 255
 
0.3%
3 105
 
0.1%
4 59
 
0.1%
ValueCountFrequency (%)
1449 1
< 0.1%
1446 1
< 0.1%
1224 1
< 0.1%
1201 1
< 0.1%
1179 1
< 0.1%

V854
Real number (ℝ)

SKEWED  ZEROS 

Distinct214
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7609383272
Minimum0
Maximum915
Zeros72260
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:56.876526image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum915
Range915
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.49012377
Coefficient of variation (CV)15.0999409
Kurtosis1434.970369
Mean0.7609383272
Median Absolute Deviation (MAD)0
Skewness30.50604152
Sum56053
Variance132.0229443
MonotonicityNot monotonic
2024-03-09T21:19:57.132813image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72260
98.1%
1 372
 
0.5%
2 115
 
0.2%
3 66
 
0.1%
4 41
 
0.1%
5 36
 
< 0.1%
9 26
 
< 0.1%
6 26
 
< 0.1%
7 24
 
< 0.1%
16 18
 
< 0.1%
Other values (204) 679
 
0.9%
ValueCountFrequency (%)
0 72260
98.1%
1 372
 
0.5%
2 115
 
0.2%
3 66
 
0.1%
4 41
 
0.1%
ValueCountFrequency (%)
915 1
< 0.1%
678 1
< 0.1%
645 1
< 0.1%
636 1
< 0.1%
616 1
< 0.1%

V855
Real number (ℝ)

SKEWED  ZEROS 

Distinct228
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8731113313
Minimum0
Maximum1201
Zeros72251
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:57.405413image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1201
Range1201
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.28498718
Coefficient of variation (CV)16.36101453
Kurtosis2236.156031
Mean0.8731113313
Median Absolute Deviation (MAD)0
Skewness37.67571976
Sum64316
Variance204.0608587
MonotonicityNot monotonic
2024-03-09T21:19:57.679380image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72251
98.1%
1 351
 
0.5%
2 112
 
0.2%
3 72
 
0.1%
4 47
 
0.1%
5 30
 
< 0.1%
6 29
 
< 0.1%
9 21
 
< 0.1%
11 20
 
< 0.1%
7 18
 
< 0.1%
Other values (218) 712
 
1.0%
ValueCountFrequency (%)
0 72251
98.1%
1 351
 
0.5%
2 112
 
0.2%
3 72
 
0.1%
4 47
 
0.1%
ValueCountFrequency (%)
1201 1
< 0.1%
1160 1
< 0.1%
1026 1
< 0.1%
975 1
< 0.1%
580 1
< 0.1%

V856
Real number (ℝ)

SKEWED  ZEROS 

Distinct396
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.854743901
Minimum0
Maximum11345
Zeros64768
Zeros (%)87.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:57.941216image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile28
Maximum11345
Range11345
Interquartile range (IQR)0

Descriptive statistics

Standard deviation78.08633758
Coefficient of variation (CV)13.33727639
Kurtosis13898.33482
Mean5.854743901
Median Absolute Deviation (MAD)0
Skewness107.9583162
Sum431278
Variance6097.476117
MonotonicityNot monotonic
2024-03-09T21:19:58.208836image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64768
87.9%
1 1199
 
1.6%
2 445
 
0.6%
3 258
 
0.4%
23 169
 
0.2%
4 163
 
0.2%
15 159
 
0.2%
18 157
 
0.2%
19 153
 
0.2%
22 152
 
0.2%
Other values (386) 6040
 
8.2%
ValueCountFrequency (%)
0 64768
87.9%
1 1199
 
1.6%
2 445
 
0.6%
3 258
 
0.4%
4 163
 
0.2%
ValueCountFrequency (%)
11345 1
< 0.1%
10078 1
< 0.1%
9631 1
< 0.1%
7138 1
< 0.1%
2387 1
< 0.1%

V857
Real number (ℝ)

SKEWED  ZEROS 

Distinct442
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.286005186
Minimum0
Maximum12311
Zeros64760
Zeros (%)87.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:58.481785image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile28
Maximum12311
Range12311
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.6631679
Coefficient of variation (CV)13.62760058
Kurtosis13146.27545
Mean6.286005186
Median Absolute Deviation (MAD)0
Skewness103.990907
Sum463046
Variance7338.178334
MonotonicityNot monotonic
2024-03-09T21:19:58.772180image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64760
87.9%
1 1174
 
1.6%
2 480
 
0.7%
3 257
 
0.3%
23 170
 
0.2%
20 168
 
0.2%
4 163
 
0.2%
19 159
 
0.2%
22 155
 
0.2%
15 147
 
0.2%
Other values (432) 6030
 
8.2%
ValueCountFrequency (%)
0 64760
87.9%
1 1174
 
1.6%
2 480
 
0.7%
3 257
 
0.3%
4 163
 
0.2%
ValueCountFrequency (%)
12311 1
< 0.1%
11195 1
< 0.1%
9896 1
< 0.1%
7860 1
< 0.1%
2801 1
< 0.1%

V858
Real number (ℝ)

SKEWED  ZEROS 

Distinct323
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.967392042
Minimum0
Maximum1419
Zeros71547
Zeros (%)97.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:19:59.815296image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1419
Range1419
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27.53002357
Coefficient of variation (CV)13.9931559
Kurtosis907.7770758
Mean1.967392042
Median Absolute Deviation (MAD)0
Skewness26.9446994
Sum144924
Variance757.9021975
MonotonicityNot monotonic
2024-03-09T21:20:00.098271image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71547
97.1%
1 268
 
0.4%
2 71
 
0.1%
11 47
 
0.1%
24 42
 
0.1%
3 41
 
0.1%
10 41
 
0.1%
16 40
 
0.1%
21 37
 
0.1%
14 36
 
< 0.1%
Other values (313) 1493
 
2.0%
ValueCountFrequency (%)
0 71547
97.1%
1 268
 
0.4%
2 71
 
0.1%
3 41
 
0.1%
4 32
 
< 0.1%
ValueCountFrequency (%)
1419 1
< 0.1%
1418 1
< 0.1%
1281 1
< 0.1%
1190 1
< 0.1%
1123 1
< 0.1%

V859
Real number (ℝ)

SKEWED  ZEROS 

Distinct337
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.146355701
Minimum0
Maximum2368
Zeros71581
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:00.385425image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2368
Range2368
Interquartile range (IQR)0

Descriptive statistics

Standard deviation31.82967391
Coefficient of variation (CV)14.82963606
Kurtosis1425.040285
Mean2.146355701
Median Absolute Deviation (MAD)0
Skewness31.7326969
Sum158107
Variance1013.128141
MonotonicityNot monotonic
2024-03-09T21:20:00.674369image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71581
97.2%
1 227
 
0.3%
2 77
 
0.1%
3 51
 
0.1%
13 41
 
0.1%
15 41
 
0.1%
24 39
 
0.1%
14 39
 
0.1%
19 39
 
0.1%
8 39
 
0.1%
Other values (327) 1489
 
2.0%
ValueCountFrequency (%)
0 71581
97.2%
1 227
 
0.3%
2 77
 
0.1%
3 51
 
0.1%
4 32
 
< 0.1%
ValueCountFrequency (%)
2368 1
< 0.1%
2256 1
< 0.1%
1675 1
< 0.1%
1593 1
< 0.1%
1303 1
< 0.1%

V860
Real number (ℝ)

SKEWED  ZEROS 

Distinct252
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.140776238
Minimum0
Maximum1171
Zeros71916
Zeros (%)97.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:00.947077image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1171
Range1171
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.89159286
Coefficient of variation (CV)15.68370051
Kurtosis1379.461626
Mean1.140776238
Median Absolute Deviation (MAD)0
Skewness31.9877891
Sum84033
Variance320.1090949
MonotonicityNot monotonic
2024-03-09T21:20:01.222331image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71916
97.6%
1 429
 
0.6%
2 130
 
0.2%
3 58
 
0.1%
4 41
 
0.1%
6 35
 
< 0.1%
12 29
 
< 0.1%
13 28
 
< 0.1%
14 28
 
< 0.1%
15 27
 
< 0.1%
Other values (242) 942
 
1.3%
ValueCountFrequency (%)
0 71916
97.6%
1 429
 
0.6%
2 130
 
0.2%
3 58
 
0.1%
4 41
 
0.1%
ValueCountFrequency (%)
1171 1
< 0.1%
1054 1
< 0.1%
1017 1
< 0.1%
1000 1
< 0.1%
940 1
< 0.1%

V861
Real number (ℝ)

SKEWED  ZEROS 

Distinct266
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.345804542
Minimum0
Maximum1452
Zeros71893
Zeros (%)97.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:01.492229image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1452
Range1452
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.44752081
Coefficient of variation (CV)15.9365793
Kurtosis1454.155181
Mean1.345804542
Median Absolute Deviation (MAD)0
Skewness32.80204799
Sum99136
Variance459.9961489
MonotonicityNot monotonic
2024-03-09T21:20:01.759001image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71893
97.6%
1 440
 
0.6%
2 129
 
0.2%
3 49
 
0.1%
4 39
 
0.1%
7 34
 
< 0.1%
5 33
 
< 0.1%
13 30
 
< 0.1%
12 25
 
< 0.1%
6 23
 
< 0.1%
Other values (256) 968
 
1.3%
ValueCountFrequency (%)
0 71893
97.6%
1 440
 
0.6%
2 129
 
0.2%
3 49
 
0.1%
4 39
 
0.1%
ValueCountFrequency (%)
1452 1
< 0.1%
1306 1
< 0.1%
1292 1
< 0.1%
1281 1
< 0.1%
1057 1
< 0.1%

V862
Real number (ℝ)

SKEWED  ZEROS 

Distinct60
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2165537651
Minimum0
Maximum210
Zeros69422
Zeros (%)94.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:02.039181image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum210
Range210
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.132962905
Coefficient of variation (CV)9.849576633
Kurtosis3211.763688
Mean0.2165537651
Median Absolute Deviation (MAD)0
Skewness44.30202513
Sum15952
Variance4.549530753
MonotonicityNot monotonic
2024-03-09T21:20:02.297219image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69422
94.2%
1 1888
 
2.6%
2 805
 
1.1%
3 425
 
0.6%
4 286
 
0.4%
5 198
 
0.3%
6 100
 
0.1%
7 97
 
0.1%
8 77
 
0.1%
9 52
 
0.1%
Other values (50) 313
 
0.4%
ValueCountFrequency (%)
0 69422
94.2%
1 1888
 
2.6%
2 805
 
1.1%
3 425
 
0.6%
4 286
 
0.4%
ValueCountFrequency (%)
210 1
< 0.1%
195 1
< 0.1%
147 1
< 0.1%
139 1
< 0.1%
130 1
< 0.1%

V863
Real number (ℝ)

SKEWED  ZEROS 

Distinct64
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2492703257
Minimum0
Maximum202
Zeros69380
Zeros (%)94.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:02.569470image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum202
Range202
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.425991509
Coefficient of variation (CV)9.732371883
Kurtosis2202.375758
Mean0.2492703257
Median Absolute Deviation (MAD)0
Skewness37.33284299
Sum18362
Variance5.885434801
MonotonicityNot monotonic
2024-03-09T21:20:02.872568image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69380
94.2%
1 1796
 
2.4%
2 777
 
1.1%
3 429
 
0.6%
4 305
 
0.4%
5 194
 
0.3%
6 142
 
0.2%
7 98
 
0.1%
9 86
 
0.1%
8 73
 
0.1%
Other values (54) 383
 
0.5%
ValueCountFrequency (%)
0 69380
94.2%
1 1796
 
2.4%
2 777
 
1.1%
3 429
 
0.6%
4 305
 
0.4%
ValueCountFrequency (%)
202 1
< 0.1%
188 1
< 0.1%
169 1
< 0.1%
148 1
< 0.1%
144 1
< 0.1%

V864
Real number (ℝ)

SKEWED  ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001384684306
Minimum0
Maximum10
Zeros73592
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:03.109234image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06097356209
Coefficient of variation (CV)44.03426965
Kurtosis11962.43739
Mean0.001384684306
Median Absolute Deviation (MAD)0
Skewness91.20196272
Sum102
Variance0.003717775274
MonotonicityNot monotonic
2024-03-09T21:20:03.313695image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 73592
99.9%
1 59
 
0.1%
2 5
 
< 0.1%
3 3
 
< 0.1%
4 2
 
< 0.1%
10 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
0 73592
99.9%
1 59
 
0.1%
2 5
 
< 0.1%
3 3
 
< 0.1%
4 2
 
< 0.1%
ValueCountFrequency (%)
10 1
 
< 0.1%
6 1
 
< 0.1%
4 2
 
< 0.1%
3 3
< 0.1%
2 5
< 0.1%

V865
Real number (ℝ)

SKEWED  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001683341705
Minimum0
Maximum9
Zeros73578
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:03.524086image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06851493602
Coefficient of variation (CV)40.70173977
Kurtosis8571.387257
Mean0.001683341705
Median Absolute Deviation (MAD)0
Skewness80.12475248
Sum124
Variance0.004694296457
MonotonicityNot monotonic
2024-03-09T21:20:03.775322image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 73578
99.9%
1 70
 
0.1%
2 8
 
< 0.1%
3 2
 
< 0.1%
4 2
 
< 0.1%
8 1
 
< 0.1%
7 1
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
0 73578
99.9%
1 70
 
0.1%
2 8
 
< 0.1%
3 2
 
< 0.1%
4 2
 
< 0.1%
ValueCountFrequency (%)
9 1
< 0.1%
8 1
< 0.1%
7 1
< 0.1%
4 2
< 0.1%
3 2
< 0.1%

V866
Real number (ℝ)

SKEWED  ZEROS 

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01144400853
Minimum0
Maximum146
Zeros73252
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:03.917125image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum146
Range146
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5749392487
Coefficient of variation (CV)50.2393237
Kurtosis56555.4423
Mean0.01144400853
Median Absolute Deviation (MAD)0
Skewness225.2777177
Sum843
Variance0.3305551397
MonotonicityNot monotonic
2024-03-09T21:20:04.137082image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 73252
99.4%
1 291
 
0.4%
2 70
 
0.1%
3 19
 
< 0.1%
4 12
 
< 0.1%
5 5
 
< 0.1%
6 4
 
< 0.1%
10 3
 
< 0.1%
8 2
 
< 0.1%
146 1
 
< 0.1%
Other values (4) 4
 
< 0.1%
ValueCountFrequency (%)
0 73252
99.4%
1 291
 
0.4%
2 70
 
0.1%
3 19
 
< 0.1%
4 12
 
< 0.1%
ValueCountFrequency (%)
146 1
 
< 0.1%
29 1
 
< 0.1%
21 1
 
< 0.1%
10 3
< 0.1%
9 1
 
< 0.1%

V867
Real number (ℝ)

SKEWED  ZEROS 

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01138970718
Minimum0
Maximum152
Zeros73264
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:04.344171image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum152
Range152
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5933922028
Coefficient of variation (CV)52.09898669
Kurtosis58521.29001
Mean0.01138970718
Median Absolute Deviation (MAD)0
Skewness230.4969912
Sum839
Variance0.3521143064
MonotonicityNot monotonic
2024-03-09T21:20:04.568113image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 73264
99.5%
1 279
 
0.4%
2 62
 
0.1%
3 26
 
< 0.1%
5 13
 
< 0.1%
4 8
 
< 0.1%
8 2
 
< 0.1%
6 2
 
< 0.1%
7 2
 
< 0.1%
11 1
 
< 0.1%
Other values (4) 4
 
< 0.1%
ValueCountFrequency (%)
0 73264
99.5%
1 279
 
0.4%
2 62
 
0.1%
3 26
 
< 0.1%
4 8
 
< 0.1%
ValueCountFrequency (%)
152 1
< 0.1%
29 1
< 0.1%
15 1
< 0.1%
12 1
< 0.1%
11 1
< 0.1%

V868
Real number (ℝ)

SKEWED  ZEROS 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007968722425
Minimum0
Maximum12
Zeros73306
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:04.789041image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1512136003
Coefficient of variation (CV)18.97589002
Kurtosis1875.895234
Mean0.007968722425
Median Absolute Deviation (MAD)0
Skewness35.52890077
Sum587
Variance0.02286555293
MonotonicityNot monotonic
2024-03-09T21:20:05.002410image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 73306
99.5%
1 247
 
0.3%
2 62
 
0.1%
3 21
 
< 0.1%
4 11
 
< 0.1%
5 7
 
< 0.1%
6 3
 
< 0.1%
8 2
 
< 0.1%
12 2
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
0 73306
99.5%
1 247
 
0.3%
2 62
 
0.1%
3 21
 
< 0.1%
4 11
 
< 0.1%
ValueCountFrequency (%)
12 2
< 0.1%
9 1
 
< 0.1%
8 2
< 0.1%
7 1
 
< 0.1%
6 3
< 0.1%

V869
Real number (ℝ)

SKEWED  ZEROS 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008566037224
Minimum0
Maximum10
Zeros73284
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:05.218747image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1583731724
Coefficient of variation (CV)18.4884992
Kurtosis1397.607545
Mean0.008566037224
Median Absolute Deviation (MAD)0
Skewness32.24000451
Sum631
Variance0.02508206172
MonotonicityNot monotonic
2024-03-09T21:20:05.427388image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 73284
99.5%
1 264
 
0.4%
2 65
 
0.1%
3 19
 
< 0.1%
4 11
 
< 0.1%
5 8
 
< 0.1%
8 4
 
< 0.1%
7 3
 
< 0.1%
9 3
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
0 73284
99.5%
1 264
 
0.4%
2 65
 
0.1%
3 19
 
< 0.1%
4 11
 
< 0.1%
ValueCountFrequency (%)
10 1
 
< 0.1%
9 3
< 0.1%
8 4
< 0.1%
7 3
< 0.1%
6 1
 
< 0.1%

V870
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0001629040359
Minimum0
Maximum1
Zeros73651
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:05.618505image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01276243352
Coefficient of variation (CV)78.3432617
Kurtosis6133.999925
Mean0.0001629040359
Median Absolute Deviation (MAD)0
Skewness78.33156058
Sum12
Variance0.0001628797094
MonotonicityNot monotonic
2024-03-09T21:20:05.807143image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 73651
> 99.9%
1 12
 
< 0.1%
ValueCountFrequency (%)
0 73651
> 99.9%
1 12
 
< 0.1%
ValueCountFrequency (%)
1 12
 
< 0.1%
0 73651
> 99.9%

V871
Real number (ℝ)

SKEWED  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0001900547086
Minimum0
Maximum2
Zeros73652
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:05.995454image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0164764769
Coefficient of variation (CV)86.69333701
Kurtosis10308.78395
Mean0.0001900547086
Median Absolute Deviation (MAD)0
Skewness97.08908902
Sum14
Variance0.0002714742911
MonotonicityNot monotonic
2024-03-09T21:20:06.205750image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 73652
> 99.9%
1 8
 
< 0.1%
2 3
 
< 0.1%
ValueCountFrequency (%)
0 73652
> 99.9%
1 8
 
< 0.1%
2 3
 
< 0.1%
ValueCountFrequency (%)
2 3
 
< 0.1%
1 8
 
< 0.1%
0 73652
> 99.9%

V872
Real number (ℝ)

SKEWED  ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002334957849
Minimum0
Maximum13
Zeros73563
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:06.424707image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09067145854
Coefficient of variation (CV)38.83216076
Kurtosis9057.80727
Mean0.002334957849
Median Absolute Deviation (MAD)0
Skewness81.07518016
Sum172
Variance0.008221313394
MonotonicityNot monotonic
2024-03-09T21:20:06.631144image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 73563
99.9%
1 66
 
0.1%
2 22
 
< 0.1%
3 8
 
< 0.1%
9 2
 
< 0.1%
7 1
 
< 0.1%
13 1
 
< 0.1%
ValueCountFrequency (%)
0 73563
99.9%
1 66
 
0.1%
2 22
 
< 0.1%
3 8
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
13 1
 
< 0.1%
9 2
 
< 0.1%
7 1
 
< 0.1%
3 8
 
< 0.1%
2 22
< 0.1%

V873
Real number (ℝ)

SKEWED  ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002362108521
Minimum0
Maximum11
Zeros73544
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:06.852473image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08235399613
Coefficient of variation (CV)34.86461159
Kurtosis7570.565815
Mean0.002362108521
Median Absolute Deviation (MAD)0
Skewness73.41539936
Sum174
Variance0.006782180678
MonotonicityNot monotonic
2024-03-09T21:20:07.043708image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 73544
99.8%
1 98
 
0.1%
2 11
 
< 0.1%
4 4
 
< 0.1%
3 2
 
< 0.1%
5 1
 
< 0.1%
7 1
 
< 0.1%
11 1
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
0 73544
99.8%
1 98
 
0.1%
2 11
 
< 0.1%
3 2
 
< 0.1%
4 4
 
< 0.1%
ValueCountFrequency (%)
11 1
 
< 0.1%
9 1
 
< 0.1%
7 1
 
< 0.1%
5 1
 
< 0.1%
4 4
< 0.1%

V874
Real number (ℝ)

SKEWED  ZEROS 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005253655159
Minimum0
Maximum66
Zeros73469
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:07.232438image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum66
Range66
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2678040799
Coefficient of variation (CV)50.97481121
Kurtosis50142.6534
Mean0.005253655159
Median Absolute Deviation (MAD)0
Skewness206.3695483
Sum387
Variance0.07171902522
MonotonicityNot monotonic
2024-03-09T21:20:07.455832image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 73469
99.7%
1 137
 
0.2%
2 26
 
< 0.1%
3 15
 
< 0.1%
4 6
 
< 0.1%
8 3
 
< 0.1%
7 2
 
< 0.1%
5 2
 
< 0.1%
66 1
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
0 73469
99.7%
1 137
 
0.2%
2 26
 
< 0.1%
3 15
 
< 0.1%
4 6
 
< 0.1%
ValueCountFrequency (%)
66 1
 
< 0.1%
9 1
 
< 0.1%
8 3
< 0.1%
7 2
< 0.1%
6 1
 
< 0.1%

V875
Real number (ℝ)

SKEWED  ZEROS 

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006556887447
Minimum0
Maximum97
Zeros73443
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:07.644608image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum97
Range97
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3788737102
Coefficient of variation (CV)57.7825551
Kurtosis58337.99022
Mean0.006556887447
Median Absolute Deviation (MAD)0
Skewness229.2286924
Sum483
Variance0.1435452883
MonotonicityNot monotonic
2024-03-09T21:20:07.864587image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 73443
99.7%
1 146
 
0.2%
2 31
 
< 0.1%
3 23
 
< 0.1%
4 7
 
< 0.1%
5 4
 
< 0.1%
6 2
 
< 0.1%
8 2
 
< 0.1%
7 2
 
< 0.1%
10 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
ValueCountFrequency (%)
0 73443
99.7%
1 146
 
0.2%
2 31
 
< 0.1%
3 23
 
< 0.1%
4 7
 
< 0.1%
ValueCountFrequency (%)
97 1
< 0.1%
10 1
< 0.1%
9 1
< 0.1%
8 2
< 0.1%
7 2
< 0.1%

V876
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.50273543 × 10-5
Minimum0
Maximum1
Zeros73656
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:08.084662image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.009747800471
Coefficient of variation (CV)102.5788894
Kurtosis10518.99987
Mean9.50273543 × 10-5
Median Absolute Deviation (MAD)0
Skewness102.5705332
Sum7
Variance9.501961403 × 10-5
MonotonicityNot monotonic
2024-03-09T21:20:08.273414image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 73656
> 99.9%
1 7
 
< 0.1%
ValueCountFrequency (%)
0 73656
> 99.9%
1 7
 
< 0.1%
ValueCountFrequency (%)
1 7
 
< 0.1%
0 73656
> 99.9%

V877
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0001357533633
Minimum0
Maximum1
Zeros73653
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:08.489234image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01165061273
Coefficient of variation (CV)85.82190855
Kurtosis7361.799902
Mean0.0001357533633
Median Absolute Deviation (MAD)0
Skewness85.81142129
Sum10
Variance0.000135736777
MonotonicityNot monotonic
2024-03-09T21:20:08.689957image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 73653
> 99.9%
1 10
 
< 0.1%
ValueCountFrequency (%)
0 73653
> 99.9%
1 10
 
< 0.1%
ValueCountFrequency (%)
1 10
 
< 0.1%
0 73653
> 99.9%

V878
Real number (ℝ)

SKEWED  ZEROS 

Distinct1217
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.36455208
Minimum0
Maximum64912
Zeros5991
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:08.929124image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116
median33
Q383
95-th percentile310
Maximum64912
Range64912
Interquartile range (IQR)67

Descriptive statistics

Standard deviation507.2537282
Coefficient of variation (CV)5.740466242
Kurtosis11335.72956
Mean88.36455208
Median Absolute Deviation (MAD)23
Skewness96.32427935
Sum6509198
Variance257306.3448
MonotonicityNot monotonic
2024-03-09T21:20:09.196872image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5991
 
8.1%
16 1258
 
1.7%
17 1227
 
1.7%
19 1224
 
1.7%
18 1219
 
1.7%
14 1205
 
1.6%
15 1198
 
1.6%
20 1181
 
1.6%
21 1165
 
1.6%
22 1162
 
1.6%
Other values (1207) 56833
77.2%
ValueCountFrequency (%)
0 5991
8.1%
1 350
 
0.5%
2 345
 
0.5%
3 469
 
0.6%
4 547
 
0.7%
ValueCountFrequency (%)
64912 1
< 0.1%
60844 1
< 0.1%
58802 1
< 0.1%
58756 1
< 0.1%
18750 1
< 0.1%

V879
Real number (ℝ)

SKEWED  ZEROS 

Distinct1374
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.7711741
Minimum0
Maximum117923
Zeros6167
Zeros (%)8.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:09.465680image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116
median34
Q388
95-th percentile369
Maximum117923
Range117923
Interquartile range (IQR)72

Descriptive statistics

Standard deviation827.4071354
Coefficient of variation (CV)8.210752157
Kurtosis15592.846
Mean100.7711741
Median Absolute Deviation (MAD)24
Skewness118.5333166
Sum7423107
Variance684602.5677
MonotonicityNot monotonic
2024-03-09T21:20:09.737221image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6167
 
8.4%
19 1291
 
1.8%
20 1210
 
1.6%
18 1190
 
1.6%
23 1178
 
1.6%
17 1174
 
1.6%
22 1162
 
1.6%
16 1160
 
1.6%
21 1152
 
1.6%
15 1142
 
1.6%
Other values (1364) 56837
77.2%
ValueCountFrequency (%)
0 6167
8.4%
1 332
 
0.5%
2 353
 
0.5%
3 440
 
0.6%
4 474
 
0.6%
ValueCountFrequency (%)
117923 1
< 0.1%
116720 1
< 0.1%
96181 1
< 0.1%
93211 1
< 0.1%
18187 1
< 0.1%

V880
Real number (ℝ)

SKEWED  ZEROS 

Distinct319
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.568983072
Minimum0
Maximum4843
Zeros62126
Zeros (%)84.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:09.997212image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile19
Maximum4843
Range4843
Interquartile range (IQR)0

Descriptive statistics

Standard deviation39.49953872
Coefficient of variation (CV)8.645148845
Kurtosis4618.4122
Mean4.568983072
Median Absolute Deviation (MAD)0
Skewness54.47997889
Sum336565
Variance1560.213559
MonotonicityNot monotonic
2024-03-09T21:20:10.287852image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62126
84.3%
3 702
 
1.0%
4 689
 
0.9%
5 686
 
0.9%
2 673
 
0.9%
6 666
 
0.9%
1 568
 
0.8%
7 566
 
0.8%
8 503
 
0.7%
9 489
 
0.7%
Other values (309) 5995
 
8.1%
ValueCountFrequency (%)
0 62126
84.3%
1 568
 
0.8%
2 673
 
0.9%
3 702
 
1.0%
4 689
 
0.9%
ValueCountFrequency (%)
4843 1
< 0.1%
2813 1
< 0.1%
2291 1
< 0.1%
2255 1
< 0.1%
2254 1
< 0.1%

V881
Real number (ℝ)

SKEWED  ZEROS 

Distinct386
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.646443941
Minimum0
Maximum4945
Zeros61733
Zeros (%)83.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:10.545967image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile23
Maximum4945
Range4945
Interquartile range (IQR)0

Descriptive statistics

Standard deviation43.2858981
Coefficient of variation (CV)7.666045843
Kurtosis3514.213809
Mean5.646443941
Median Absolute Deviation (MAD)0
Skewness45.0688373
Sum415934
Variance1873.668974
MonotonicityNot monotonic
2024-03-09T21:20:10.830154image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 61733
83.8%
5 740
 
1.0%
3 725
 
1.0%
4 705
 
1.0%
6 632
 
0.9%
2 607
 
0.8%
7 563
 
0.8%
1 502
 
0.7%
9 471
 
0.6%
8 453
 
0.6%
Other values (376) 6532
 
8.9%
ValueCountFrequency (%)
0 61733
83.8%
1 502
 
0.7%
2 607
 
0.8%
3 725
 
1.0%
4 705
 
1.0%
ValueCountFrequency (%)
4945 1
< 0.1%
3190 1
< 0.1%
2411 1
< 0.1%
2154 1
< 0.1%
2126 1
< 0.1%

V882
Real number (ℝ)

SKEWED  ZEROS 

Distinct553
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.21542701
Minimum0
Maximum9788
Zeros61556
Zeros (%)83.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:11.100927image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile41
Maximum9788
Range9788
Interquartile range (IQR)0

Descriptive statistics

Standard deviation82.34434326
Coefficient of variation (CV)8.06078328
Kurtosis4080.005892
Mean10.21542701
Median Absolute Deviation (MAD)0
Skewness49.85007489
Sum752499
Variance6780.590866
MonotonicityNot monotonic
2024-03-09T21:20:11.370988image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 61556
83.6%
7 407
 
0.6%
10 397
 
0.5%
8 395
 
0.5%
9 377
 
0.5%
11 349
 
0.5%
5 347
 
0.5%
6 344
 
0.5%
12 344
 
0.5%
4 333
 
0.5%
Other values (543) 8814
 
12.0%
ValueCountFrequency (%)
0 61556
83.6%
1 226
 
0.3%
2 256
 
0.3%
3 268
 
0.4%
4 333
 
0.5%
ValueCountFrequency (%)
9788 1
< 0.1%
6003 1
< 0.1%
4666 1
< 0.1%
4397 1
< 0.1%
4343 1
< 0.1%

V883
Real number (ℝ)

ZEROS 

Distinct147
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.55094145
Minimum0
Maximum255
Zeros63955
Zeros (%)86.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:11.626734image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.391739521
Coefficient of variation (CV)4.76596942
Kurtosis236.2610815
Mean1.55094145
Median Absolute Deviation (MAD)0
Skewness12.21691712
Sum114247
Variance54.63781315
MonotonicityNot monotonic
2024-03-09T21:20:11.893536image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63955
86.8%
2 911
 
1.2%
3 818
 
1.1%
4 779
 
1.1%
5 775
 
1.1%
1 768
 
1.0%
6 601
 
0.8%
7 511
 
0.7%
8 496
 
0.7%
9 449
 
0.6%
Other values (137) 3600
 
4.9%
ValueCountFrequency (%)
0 63955
86.8%
1 768
 
1.0%
2 911
 
1.2%
3 818
 
1.1%
4 779
 
1.1%
ValueCountFrequency (%)
255 1
< 0.1%
247 1
< 0.1%
231 1
< 0.1%
221 1
< 0.1%
214 1
< 0.1%

V884
Real number (ℝ)

ZEROS 

Distinct189
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.101624968
Minimum0
Maximum282
Zeros63655
Zeros (%)86.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:12.145396image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile11
Maximum282
Range282
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.03109609
Coefficient of variation (CV)4.77301909
Kurtosis174.5918643
Mean2.101624968
Median Absolute Deviation (MAD)0
Skewness10.81420819
Sum154812
Variance100.6228888
MonotonicityNot monotonic
2024-03-09T21:20:12.405543image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63655
86.4%
5 766
 
1.0%
3 754
 
1.0%
2 701
 
1.0%
4 689
 
0.9%
6 640
 
0.9%
7 597
 
0.8%
1 585
 
0.8%
8 512
 
0.7%
9 443
 
0.6%
Other values (179) 4321
 
5.9%
ValueCountFrequency (%)
0 63655
86.4%
1 585
 
0.8%
2 701
 
1.0%
3 754
 
1.0%
4 689
 
0.9%
ValueCountFrequency (%)
282 1
< 0.1%
278 1
< 0.1%
276 1
< 0.1%
273 1
< 0.1%
270 1
< 0.1%

V885
Real number (ℝ)

ZEROS 

Distinct260
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.652566417
Minimum0
Maximum528
Zeros63292
Zeros (%)85.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:12.669339image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile20
Maximum528
Range528
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.11306947
Coefficient of variation (CV)4.685217875
Kurtosis198.5423899
Mean3.652566417
Median Absolute Deviation (MAD)0
Skewness11.35918005
Sum269059
Variance292.8571466
MonotonicityNot monotonic
2024-03-09T21:20:12.972560image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63292
85.9%
7 442
 
0.6%
5 428
 
0.6%
8 421
 
0.6%
6 412
 
0.6%
10 397
 
0.5%
4 396
 
0.5%
9 390
 
0.5%
12 379
 
0.5%
11 374
 
0.5%
Other values (250) 6732
 
9.1%
ValueCountFrequency (%)
0 63292
85.9%
1 309
 
0.4%
2 340
 
0.5%
3 348
 
0.5%
4 396
 
0.5%
ValueCountFrequency (%)
528 1
< 0.1%
525 1
< 0.1%
497 1
< 0.1%
484 1
< 0.1%
475 1
< 0.1%

V886
Real number (ℝ)

SKEWED  ZEROS 

Distinct181
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.675549462
Minimum0
Maximum7461
Zeros59773
Zeros (%)81.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:14.050311image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile14
Maximum7461
Range7461
Interquartile range (IQR)0

Descriptive statistics

Standard deviation32.80320697
Coefficient of variation (CV)12.26036275
Kurtosis37794.30641
Mean2.675549462
Median Absolute Deviation (MAD)0
Skewness177.4324437
Sum197089
Variance1076.050387
MonotonicityNot monotonic
2024-03-09T21:20:14.330118image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59773
81.1%
3 1169
 
1.6%
2 1155
 
1.6%
4 1073
 
1.5%
5 1016
 
1.4%
1 953
 
1.3%
6 843
 
1.1%
7 782
 
1.1%
8 650
 
0.9%
10 592
 
0.8%
Other values (171) 5657
 
7.7%
ValueCountFrequency (%)
0 59773
81.1%
1 953
 
1.3%
2 1155
 
1.6%
3 1169
 
1.6%
4 1073
 
1.5%
ValueCountFrequency (%)
7461 1
< 0.1%
2870 1
< 0.1%
2802 1
< 0.1%
495 1
< 0.1%
396 1
< 0.1%

V887
Real number (ℝ)

SKEWED  ZEROS 

Distinct205
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.473290526
Minimum0
Maximum12668
Zeros59531
Zeros (%)80.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:14.607091image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile18
Maximum12668
Range12668
Interquartile range (IQR)0

Descriptive statistics

Standard deviation50.21932824
Coefficient of variation (CV)14.458718
Kurtosis55132.41729
Mean3.473290526
Median Absolute Deviation (MAD)0
Skewness221.8881984
Sum255853
Variance2521.980929
MonotonicityNot monotonic
2024-03-09T21:20:14.893778image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59531
80.8%
5 1005
 
1.4%
3 960
 
1.3%
2 931
 
1.3%
4 886
 
1.2%
6 861
 
1.2%
7 795
 
1.1%
8 691
 
0.9%
1 680
 
0.9%
9 563
 
0.8%
Other values (195) 6760
 
9.2%
ValueCountFrequency (%)
0 59531
80.8%
1 680
 
0.9%
2 931
 
1.3%
3 960
 
1.3%
4 886
 
1.2%
ValueCountFrequency (%)
12668 1
< 0.1%
3032 1
< 0.1%
2129 1
< 0.1%
585 1
< 0.1%
355 1
< 0.1%

V888
Real number (ℝ)

SKEWED  ZEROS 

Distinct310
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.148839988
Minimum0
Maximum20129
Zeros59109
Zeros (%)80.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:15.147481image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile32
Maximum20129
Range20129
Interquartile range (IQR)0

Descriptive statistics

Standard deviation82.39714094
Coefficient of variation (CV)13.40043668
Kurtosis48815.74299
Mean6.148839988
Median Absolute Deviation (MAD)0
Skewness205.7646581
Sum452942
Variance6789.288834
MonotonicityNot monotonic
2024-03-09T21:20:15.434995image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59109
80.2%
8 597
 
0.8%
7 596
 
0.8%
9 567
 
0.8%
10 556
 
0.8%
5 545
 
0.7%
6 535
 
0.7%
11 493
 
0.7%
4 490
 
0.7%
12 471
 
0.6%
Other values (300) 9704
 
13.2%
ValueCountFrequency (%)
0 59109
80.2%
1 306
 
0.4%
2 421
 
0.6%
3 393
 
0.5%
4 490
 
0.7%
ValueCountFrequency (%)
20129 1
< 0.1%
5834 1
< 0.1%
4999 1
< 0.1%
971 1
< 0.1%
850 1
< 0.1%

V889
Real number (ℝ)

SKEWED  ZEROS 

Distinct199
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.522731901
Minimum0
Maximum1893
Zeros56906
Zeros (%)77.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:15.689234image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile20
Maximum1893
Range1893
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.9192291
Coefficient of variation (CV)3.951259845
Kurtosis4712.393768
Mean3.522731901
Median Absolute Deviation (MAD)0
Skewness40.44249334
Sum259495
Variance193.7449388
MonotonicityNot monotonic
2024-03-09T21:20:15.956566image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56906
77.3%
2 1176
 
1.6%
3 1099
 
1.5%
4 1067
 
1.4%
5 1019
 
1.4%
1 935
 
1.3%
6 869
 
1.2%
7 812
 
1.1%
8 737
 
1.0%
10 646
 
0.9%
Other values (189) 8397
 
11.4%
ValueCountFrequency (%)
0 56906
77.3%
1 935
 
1.3%
2 1176
 
1.6%
3 1099
 
1.5%
4 1067
 
1.4%
ValueCountFrequency (%)
1893 1
< 0.1%
443 1
< 0.1%
422 1
< 0.1%
409 1
< 0.1%
351 1
< 0.1%

V890
Real number (ℝ)

SKEWED  ZEROS 

Distinct227
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.022983044
Minimum0
Maximum2122
Zeros56874
Zeros (%)77.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:16.236413image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile22
Maximum2122
Range2122
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.55062591
Coefficient of variation (CV)4.114018312
Kurtosis3798.618627
Mean4.022983044
Median Absolute Deviation (MAD)0
Skewness36.42699333
Sum296345
Variance273.9232181
MonotonicityNot monotonic
2024-03-09T21:20:16.496285image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56874
77.2%
2 1096
 
1.5%
3 1084
 
1.5%
4 973
 
1.3%
1 932
 
1.3%
5 926
 
1.3%
6 783
 
1.1%
7 757
 
1.0%
8 730
 
1.0%
9 649
 
0.9%
Other values (217) 8859
 
12.0%
ValueCountFrequency (%)
0 56874
77.2%
1 932
 
1.3%
2 1096
 
1.5%
3 1084
 
1.5%
4 973
 
1.3%
ValueCountFrequency (%)
2122 1
< 0.1%
684 1
< 0.1%
574 1
< 0.1%
528 1
< 0.1%
482 1
< 0.1%

V891
Real number (ℝ)

SKEWED  ZEROS 

Distinct336
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.545714945
Minimum0
Maximum4015
Zeros56237
Zeros (%)76.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:16.749061image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile42
Maximum4015
Range4015
Interquartile range (IQR)0

Descriptive statistics

Standard deviation30.05454117
Coefficient of variation (CV)3.982994505
Kurtosis4417.765477
Mean7.545714945
Median Absolute Deviation (MAD)0
Skewness39.28737257
Sum555840
Variance903.2754447
MonotonicityNot monotonic
2024-03-09T21:20:17.053478image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56237
76.3%
4 603
 
0.8%
5 583
 
0.8%
7 578
 
0.8%
8 543
 
0.7%
10 543
 
0.7%
6 541
 
0.7%
2 528
 
0.7%
9 512
 
0.7%
3 505
 
0.7%
Other values (326) 12490
 
17.0%
ValueCountFrequency (%)
0 56237
76.3%
1 389
 
0.5%
2 528
 
0.7%
3 505
 
0.7%
4 603
 
0.8%
ValueCountFrequency (%)
4015 1
< 0.1%
1127 1
< 0.1%
996 1
< 0.1%
879 1
< 0.1%
781 1
< 0.1%

V892
Real number (ℝ)

SKEWED  ZEROS 

Distinct182
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.10129916
Minimum0
Maximum11533
Zeros60703
Zeros (%)82.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:17.340312image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile18
Maximum11533
Range11533
Interquartile range (IQR)0

Descriptive statistics

Standard deviation43.95771324
Coefficient of variation (CV)14.17396742
Kurtosis64259.29062
Mean3.10129916
Median Absolute Deviation (MAD)0
Skewness245.1173228
Sum228451
Variance1932.280553
MonotonicityNot monotonic
2024-03-09T21:20:17.625465image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60703
82.4%
4 835
 
1.1%
3 820
 
1.1%
2 802
 
1.1%
5 771
 
1.0%
1 715
 
1.0%
6 700
 
1.0%
7 611
 
0.8%
8 555
 
0.8%
9 538
 
0.7%
Other values (172) 6613
 
9.0%
ValueCountFrequency (%)
0 60703
82.4%
1 715
 
1.0%
2 802
 
1.1%
3 820
 
1.1%
4 835
 
1.1%
ValueCountFrequency (%)
11533 1
< 0.1%
284 2
< 0.1%
263 1
< 0.1%
255 1
< 0.1%
238 1
< 0.1%

V893
Real number (ℝ)

SKEWED  ZEROS 

Distinct196
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.121010548
Minimum0
Maximum19560
Zeros60952
Zeros (%)82.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:17.876659image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile17
Maximum19560
Range19560
Interquartile range (IQR)0

Descriptive statistics

Standard deviation72.99521878
Coefficient of variation (CV)23.38832812
Kurtosis69951.05798
Mean3.121010548
Median Absolute Deviation (MAD)0
Skewness261.1225697
Sum229903
Variance5328.301965
MonotonicityNot monotonic
2024-03-09T21:20:18.175993image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60952
82.7%
2 924
 
1.3%
1 913
 
1.2%
3 832
 
1.1%
4 786
 
1.1%
5 773
 
1.0%
6 643
 
0.9%
7 599
 
0.8%
8 501
 
0.7%
9 478
 
0.6%
Other values (186) 6262
 
8.5%
ValueCountFrequency (%)
0 60952
82.7%
1 913
 
1.2%
2 924
 
1.3%
3 832
 
1.1%
4 786
 
1.1%
ValueCountFrequency (%)
19560 1
 
< 0.1%
322 3
< 0.1%
303 1
 
< 0.1%
258 1
 
< 0.1%
255 1
 
< 0.1%

V894
Real number (ℝ)

SKEWED  ZEROS 

Distinct314
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.222309708
Minimum0
Maximum31093
Zeros60268
Zeros (%)81.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:18.455759image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile34.9
Maximum31093
Range31093
Interquartile range (IQR)0

Descriptive statistics

Standard deviation116.6852457
Coefficient of variation (CV)18.75272226
Kurtosis68393.1625
Mean6.222309708
Median Absolute Deviation (MAD)0
Skewness256.7680739
Sum458354
Variance13615.44657
MonotonicityNot monotonic
2024-03-09T21:20:18.716374image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60268
81.8%
6 498
 
0.7%
4 480
 
0.7%
5 464
 
0.6%
7 461
 
0.6%
10 401
 
0.5%
3 401
 
0.5%
9 401
 
0.5%
8 397
 
0.5%
2 394
 
0.5%
Other values (304) 9498
 
12.9%
ValueCountFrequency (%)
0 60268
81.8%
1 324
 
0.4%
2 394
 
0.5%
3 401
 
0.5%
4 480
 
0.7%
ValueCountFrequency (%)
31093 1
< 0.1%
606 2
< 0.1%
532 1
< 0.1%
513 1
< 0.1%
413 1
< 0.1%

V895
Real number (ℝ)

ZEROS 

Distinct170
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.49729172
Minimum0
Maximum264
Zeros60700
Zeros (%)82.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:18.988834image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile23
Maximum264
Range264
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.4041015
Coefficient of variation (CV)3.260837933
Kurtosis60.41980221
Mean3.49729172
Median Absolute Deviation (MAD)0
Skewness6.196873335
Sum257621
Variance130.0535311
MonotonicityNot monotonic
2024-03-09T21:20:19.255619image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60700
82.4%
10 528
 
0.7%
8 520
 
0.7%
9 513
 
0.7%
5 503
 
0.7%
6 502
 
0.7%
7 500
 
0.7%
12 462
 
0.6%
2 455
 
0.6%
11 455
 
0.6%
Other values (160) 8525
 
11.6%
ValueCountFrequency (%)
0 60700
82.4%
1 371
 
0.5%
2 455
 
0.6%
3 406
 
0.6%
4 439
 
0.6%
ValueCountFrequency (%)
264 1
< 0.1%
257 1
< 0.1%
250 1
< 0.1%
224 1
< 0.1%
217 1
< 0.1%

V896
Real number (ℝ)

ZEROS 

Distinct189
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.569159551
Minimum0
Maximum302
Zeros60839
Zeros (%)82.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:19.522130image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile23
Maximum302
Range302
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.11537432
Coefficient of variation (CV)3.3944614
Kurtosis71.72387718
Mean3.569159551
Median Absolute Deviation (MAD)0
Skewness6.783045358
Sum262915
Variance146.782295
MonotonicityNot monotonic
2024-03-09T21:20:19.797003image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60839
82.6%
10 523
 
0.7%
8 500
 
0.7%
11 481
 
0.7%
5 477
 
0.6%
9 476
 
0.6%
12 472
 
0.6%
7 469
 
0.6%
6 458
 
0.6%
4 446
 
0.6%
Other values (179) 8522
 
11.6%
ValueCountFrequency (%)
0 60839
82.6%
1 374
 
0.5%
2 413
 
0.6%
3 434
 
0.6%
4 446
 
0.6%
ValueCountFrequency (%)
302 1
< 0.1%
290 1
< 0.1%
268 1
< 0.1%
248 1
< 0.1%
235 1
< 0.1%

V897
Real number (ℝ)

ZEROS 

Distinct301
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.066451271
Minimum0
Maximum500
Zeros60449
Zeros (%)82.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:20.063822image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile45
Maximum500
Range500
Interquartile range (IQR)0

Descriptive statistics

Standard deviation23.07846598
Coefficient of variation (CV)3.265920204
Kurtosis61.4200325
Mean7.066451271
Median Absolute Deviation (MAD)0
Skewness6.311352821
Sum520536
Variance532.6155918
MonotonicityNot monotonic
2024-03-09T21:20:20.339085image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60449
82.1%
26 271
 
0.4%
14 267
 
0.4%
15 259
 
0.4%
17 257
 
0.3%
18 256
 
0.3%
13 253
 
0.3%
24 252
 
0.3%
23 251
 
0.3%
22 250
 
0.3%
Other values (291) 10898
 
14.8%
ValueCountFrequency (%)
0 60449
82.1%
1 207
 
0.3%
2 241
 
0.3%
3 183
 
0.2%
4 193
 
0.3%
ValueCountFrequency (%)
500 1
< 0.1%
485 1
< 0.1%
483 1
< 0.1%
472 1
< 0.1%
450 1
< 0.1%

V898
Real number (ℝ)

ZEROS 

Distinct104
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8856142161
Minimum0
Maximum382
Zeros68534
Zeros (%)93.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:20.604978image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum382
Range382
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.200242403
Coefficient of variation (CV)5.871904841
Kurtosis589.8732574
Mean0.8856142161
Median Absolute Deviation (MAD)0
Skewness15.82863409
Sum65237
Variance27.04252105
MonotonicityNot monotonic
2024-03-09T21:20:20.891988image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68534
93.0%
2 435
 
0.6%
1 405
 
0.5%
3 354
 
0.5%
4 353
 
0.5%
5 329
 
0.4%
6 280
 
0.4%
7 233
 
0.3%
8 207
 
0.3%
9 205
 
0.3%
Other values (94) 2328
 
3.2%
ValueCountFrequency (%)
0 68534
93.0%
1 405
 
0.5%
2 435
 
0.6%
3 354
 
0.5%
4 353
 
0.5%
ValueCountFrequency (%)
382 1
< 0.1%
186 1
< 0.1%
174 1
< 0.1%
168 1
< 0.1%
161 1
< 0.1%

V899
Real number (ℝ)

SKEWED  ZEROS 

Distinct82
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5865359814
Minimum0
Maximum394
Zeros69046
Zeros (%)93.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:21.176242image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum394
Range394
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.949640441
Coefficient of variation (CV)6.733841684
Kurtosis1632.847674
Mean0.5865359814
Median Absolute Deviation (MAD)0
Skewness25.41304176
Sum43206
Variance15.59965961
MonotonicityNot monotonic
2024-03-09T21:20:21.464063image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69046
93.7%
1 584
 
0.8%
2 543
 
0.7%
3 452
 
0.6%
4 355
 
0.5%
5 315
 
0.4%
6 274
 
0.4%
7 229
 
0.3%
9 196
 
0.3%
8 168
 
0.2%
Other values (72) 1501
 
2.0%
ValueCountFrequency (%)
0 69046
93.7%
1 584
 
0.8%
2 543
 
0.7%
3 452
 
0.6%
4 355
 
0.5%
ValueCountFrequency (%)
394 1
< 0.1%
179 1
< 0.1%
163 1
< 0.1%
160 1
< 0.1%
135 1
< 0.1%

V900
Real number (ℝ)

ZEROS 

Distinct149
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.472150198
Minimum0
Maximum776
Zeros68361
Zeros (%)92.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:21.733516image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum776
Range776
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.882587688
Coefficient of variation (CV)6.033750974
Kurtosis1008.98599
Mean1.472150198
Median Absolute Deviation (MAD)0
Skewness19.77988492
Sum108443
Variance78.90036404
MonotonicityNot monotonic
2024-03-09T21:20:22.016603image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68361
92.8%
3 291
 
0.4%
2 277
 
0.4%
5 265
 
0.4%
4 259
 
0.4%
1 245
 
0.3%
6 226
 
0.3%
7 223
 
0.3%
8 188
 
0.3%
9 177
 
0.2%
Other values (139) 3151
 
4.3%
ValueCountFrequency (%)
0 68361
92.8%
1 245
 
0.3%
2 277
 
0.4%
3 291
 
0.4%
4 259
 
0.4%
ValueCountFrequency (%)
776 1
< 0.1%
327 1
< 0.1%
321 1
< 0.1%
299 1
< 0.1%
287 1
< 0.1%

V901
Real number (ℝ)

SKEWED  ZEROS 

Distinct44
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1388621153
Minimum0
Maximum546
Zeros72568
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:22.284051image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum546
Range546
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.992473063
Coefficient of variation (CV)28.75134844
Kurtosis14996.00484
Mean0.1388621153
Median Absolute Deviation (MAD)0
Skewness116.3305817
Sum10229
Variance15.93984116
MonotonicityNot monotonic
2024-03-09T21:20:22.541661image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 72568
98.5%
1 192
 
0.3%
2 153
 
0.2%
3 97
 
0.1%
4 71
 
0.1%
6 67
 
0.1%
5 59
 
0.1%
7 52
 
0.1%
8 46
 
0.1%
9 44
 
0.1%
Other values (34) 314
 
0.4%
ValueCountFrequency (%)
0 72568
98.5%
1 192
 
0.3%
2 153
 
0.2%
3 97
 
0.1%
4 71
 
0.1%
ValueCountFrequency (%)
546 1
< 0.1%
536 1
< 0.1%
492 1
< 0.1%
475 1
< 0.1%
66 1
< 0.1%

V902
Real number (ℝ)

SKEWED  ZEROS 

Distinct49
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1463285503
Minimum0
Maximum496
Zeros72637
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:22.809038image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum496
Range496
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.681946274
Coefficient of variation (CV)25.16218651
Kurtosis13224.51548
Mean0.1463285503
Median Absolute Deviation (MAD)0
Skewness106.3928467
Sum10779
Variance13.55672836
MonotonicityNot monotonic
2024-03-09T21:20:23.088929image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 72637
98.6%
1 150
 
0.2%
2 125
 
0.2%
5 78
 
0.1%
3 71
 
0.1%
4 61
 
0.1%
7 54
 
0.1%
8 49
 
0.1%
9 45
 
0.1%
10 45
 
0.1%
Other values (39) 348
 
0.5%
ValueCountFrequency (%)
0 72637
98.6%
1 150
 
0.2%
2 125
 
0.2%
3 71
 
0.1%
4 61
 
0.1%
ValueCountFrequency (%)
496 1
< 0.1%
473 1
< 0.1%
447 1
< 0.1%
411 1
< 0.1%
95 1
< 0.1%

V903
Real number (ℝ)

SKEWED  ZEROS 

Distinct78
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2851906656
Minimum0
Maximum993
Zeros72431
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:23.372169image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum993
Range993
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.619081443
Coefficient of variation (CV)26.71574621
Kurtosis14220.41225
Mean0.2851906656
Median Absolute Deviation (MAD)0
Skewness112.4809212
Sum21008
Variance58.05040203
MonotonicityNot monotonic
2024-03-09T21:20:23.638849image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72431
98.3%
2 150
 
0.2%
1 148
 
0.2%
3 81
 
0.1%
5 55
 
0.1%
4 50
 
0.1%
8 42
 
0.1%
12 41
 
0.1%
6 41
 
0.1%
10 37
 
0.1%
Other values (68) 587
 
0.8%
ValueCountFrequency (%)
0 72431
98.3%
1 148
 
0.2%
2 150
 
0.2%
3 81
 
0.1%
4 50
 
0.1%
ValueCountFrequency (%)
993 1
< 0.1%
971 1
< 0.1%
965 1
< 0.1%
947 1
< 0.1%
161 1
< 0.1%

V904
Real number (ℝ)

ZEROS 

Distinct138
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.05874048
Minimum0
Maximum170
Zeros60769
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:23.890504image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile13
Maximum170
Range170
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.625528858
Coefficient of variation (CV)3.703977714
Kurtosis98.66940776
Mean2.05874048
Median Absolute Deviation (MAD)0
Skewness8.025666402
Sum151653
Variance58.14869037
MonotonicityNot monotonic
2024-03-09T21:20:24.173512image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60769
82.5%
2 1144
 
1.6%
1 1102
 
1.5%
3 1055
 
1.4%
4 950
 
1.3%
5 882
 
1.2%
6 757
 
1.0%
7 613
 
0.8%
8 598
 
0.8%
9 546
 
0.7%
Other values (128) 5247
 
7.1%
ValueCountFrequency (%)
0 60769
82.5%
1 1102
 
1.5%
2 1144
 
1.6%
3 1055
 
1.4%
4 950
 
1.3%
ValueCountFrequency (%)
170 1
< 0.1%
167 1
< 0.1%
160 1
< 0.1%
156 1
< 0.1%
155 1
< 0.1%

V905
Real number (ℝ)

ZEROS 

Distinct203
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.255216323
Minimum0
Maximum324
Zeros60143
Zeros (%)81.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:25.264398image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile20
Maximum324
Range324
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.34228072
Coefficient of variation (CV)3.791539332
Kurtosis115.5616881
Mean3.255216323
Median Absolute Deviation (MAD)0
Skewness8.528320129
Sum239789
Variance152.3318934
MonotonicityNot monotonic
2024-03-09T21:20:25.530469image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60143
81.6%
3 915
 
1.2%
2 910
 
1.2%
5 861
 
1.2%
4 855
 
1.2%
6 698
 
0.9%
1 670
 
0.9%
7 614
 
0.8%
8 576
 
0.8%
9 487
 
0.7%
Other values (193) 6934
 
9.4%
ValueCountFrequency (%)
0 60143
81.6%
1 670
 
0.9%
2 910
 
1.2%
3 915
 
1.2%
4 855
 
1.2%
ValueCountFrequency (%)
324 1
< 0.1%
322 1
< 0.1%
313 1
< 0.1%
303 1
< 0.1%
299 1
< 0.1%

V906
Real number (ℝ)

ZEROS 

Distinct276
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.313956803
Minimum0
Maximum483
Zeros59839
Zeros (%)81.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:25.797856image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile34
Maximum483
Range483
Interquartile range (IQR)0

Descriptive statistics

Standard deviation19.60782521
Coefficient of variation (CV)3.689872902
Kurtosis107.3493183
Mean5.313956803
Median Absolute Deviation (MAD)0
Skewness8.275850269
Sum391442
Variance384.4668095
MonotonicityNot monotonic
2024-03-09T21:20:26.066349image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59839
81.2%
7 562
 
0.8%
5 558
 
0.8%
4 531
 
0.7%
8 520
 
0.7%
9 520
 
0.7%
6 497
 
0.7%
3 492
 
0.7%
2 450
 
0.6%
10 430
 
0.6%
Other values (266) 9264
 
12.6%
ValueCountFrequency (%)
0 59839
81.2%
1 316
 
0.4%
2 450
 
0.6%
3 492
 
0.7%
4 531
 
0.7%
ValueCountFrequency (%)
483 1
< 0.1%
471 1
< 0.1%
465 1
< 0.1%
459 1
< 0.1%
435 1
< 0.1%

V907
Real number (ℝ)

SKEWED  ZEROS 

Distinct92
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3483159795
Minimum0
Maximum268
Zeros71688
Zeros (%)97.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:26.334668image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum268
Range268
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.619753599
Coefficient of variation (CV)10.39215486
Kurtosis1348.193625
Mean0.3483159795
Median Absolute Deviation (MAD)0
Skewness28.11372102
Sum25658
Variance13.10261612
MonotonicityNot monotonic
2024-03-09T21:20:26.605581image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71688
97.3%
1 147
 
0.2%
2 147
 
0.2%
3 131
 
0.2%
6 129
 
0.2%
4 124
 
0.2%
5 118
 
0.2%
9 108
 
0.1%
8 98
 
0.1%
7 98
 
0.1%
Other values (82) 875
 
1.2%
ValueCountFrequency (%)
0 71688
97.3%
1 147
 
0.2%
2 147
 
0.2%
3 131
 
0.2%
4 124
 
0.2%
ValueCountFrequency (%)
268 1
< 0.1%
245 1
< 0.1%
237 1
< 0.1%
176 1
< 0.1%
173 1
< 0.1%

V908
Real number (ℝ)

SKEWED  ZEROS 

Distinct106
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4153238396
Minimum0
Maximum289
Zeros71681
Zeros (%)97.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:26.856133image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum289
Range289
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.375578455
Coefficient of variation (CV)10.53534143
Kurtosis1165.541283
Mean0.4153238396
Median Absolute Deviation (MAD)0
Skewness26.80991927
Sum30594
Variance19.14568682
MonotonicityNot monotonic
2024-03-09T21:20:27.129077image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71681
97.3%
6 134
 
0.2%
4 134
 
0.2%
2 131
 
0.2%
3 123
 
0.2%
7 119
 
0.2%
5 110
 
0.1%
1 110
 
0.1%
8 89
 
0.1%
10 84
 
0.1%
Other values (96) 948
 
1.3%
ValueCountFrequency (%)
0 71681
97.3%
1 110
 
0.1%
2 131
 
0.2%
3 123
 
0.2%
4 134
 
0.2%
ValueCountFrequency (%)
289 1
< 0.1%
266 1
< 0.1%
265 1
< 0.1%
256 1
< 0.1%
228 1
< 0.1%

V909
Real number (ℝ)

SKEWED  ZEROS 

Distinct154
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7636398192
Minimum0
Maximum534
Zeros71559
Zeros (%)97.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:27.431525image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum534
Range534
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.847499923
Coefficient of variation (CV)10.27644149
Kurtosis1277.935539
Mean0.7636398192
Median Absolute Deviation (MAD)0
Skewness27.68019993
Sum56252
Variance61.58325504
MonotonicityNot monotonic
2024-03-09T21:20:27.701285image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71559
97.1%
1 96
 
0.1%
2 81
 
0.1%
10 77
 
0.1%
7 77
 
0.1%
5 74
 
0.1%
8 72
 
0.1%
4 70
 
0.1%
12 63
 
0.1%
11 61
 
0.1%
Other values (144) 1433
 
1.9%
ValueCountFrequency (%)
0 71559
97.1%
1 96
 
0.1%
2 81
 
0.1%
3 54
 
0.1%
4 70
 
0.1%
ValueCountFrequency (%)
534 1
< 0.1%
533 1
< 0.1%
493 1
< 0.1%
442 1
< 0.1%
401 1
< 0.1%

V910
Real number (ℝ)

SKEWED  ZEROS 

Distinct473
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.34832955
Minimum0
Maximum18994
Zeros14462
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:27.952419image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median9
Q323
95-th percentile87
Maximum18994
Range18994
Interquartile range (IQR)21

Descriptive statistics

Standard deviation89.12752518
Coefficient of variation (CV)3.988106805
Kurtosis28078.12823
Mean22.34832955
Median Absolute Deviation (MAD)9
Skewness137.0849541
Sum1646245
Variance7943.715745
MonotonicityNot monotonic
2024-03-09T21:20:28.251101image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14462
19.6%
5 3230
 
4.4%
4 3161
 
4.3%
6 3113
 
4.2%
3 2918
 
4.0%
7 2907
 
3.9%
8 2521
 
3.4%
2 2422
 
3.3%
9 2422
 
3.3%
10 2189
 
3.0%
Other values (463) 34318
46.6%
ValueCountFrequency (%)
0 14462
19.6%
1 1755
 
2.4%
2 2422
 
3.3%
3 2918
 
4.0%
4 3161
 
4.3%
ValueCountFrequency (%)
18994 1
< 0.1%
4843 1
< 0.1%
2870 1
< 0.1%
2813 1
< 0.1%
2802 1
< 0.1%

V911
Real number (ℝ)

SKEWED  ZEROS 

Distinct542
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.33791727
Minimum0
Maximum32228
Zeros14397
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:28.539839image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median9
Q325
95-th percentile108
Maximum32228
Range32228
Interquartile range (IQR)22

Descriptive statistics

Standard deviation134.1549345
Coefficient of variation (CV)5.093604521
Kurtosis45110.09478
Mean26.33791727
Median Absolute Deviation (MAD)9
Skewness189.748709
Sum1940130
Variance17997.54645
MonotonicityNot monotonic
2024-03-09T21:20:28.791789image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14397
19.5%
5 3189
 
4.3%
6 2942
 
4.0%
4 2931
 
4.0%
7 2914
 
4.0%
3 2609
 
3.5%
8 2580
 
3.5%
9 2401
 
3.3%
10 2159
 
2.9%
2 2001
 
2.7%
Other values (532) 35540
48.2%
ValueCountFrequency (%)
0 14397
19.5%
1 1329
 
1.8%
2 2001
 
2.7%
3 2609
 
3.5%
4 2931
 
4.0%
ValueCountFrequency (%)
32228 1
< 0.1%
4945 1
< 0.1%
3190 1
< 0.1%
3032 1
< 0.1%
2516 1
< 0.1%

V912
Real number (ℝ)

SKEWED  ZEROS 

Distinct829
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.68624683
Minimum0
Maximum51222
Zeros13624
Zeros (%)18.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:29.078712image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median18
Q348
95-th percentile194
Maximum51222
Range51222
Interquartile range (IQR)42

Descriptive statistics

Standard deviation221.8371374
Coefficient of variation (CV)4.556464133
Kurtosis38530.60504
Mean48.68624683
Median Absolute Deviation (MAD)17
Skewness169.9526481
Sum3586375
Variance49211.71555
MonotonicityNot monotonic
2024-03-09T21:20:29.355931image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13624
 
18.5%
10 1767
 
2.4%
9 1711
 
2.3%
12 1697
 
2.3%
8 1671
 
2.3%
11 1664
 
2.3%
13 1615
 
2.2%
7 1597
 
2.2%
14 1584
 
2.2%
15 1493
 
2.0%
Other values (819) 45240
61.4%
ValueCountFrequency (%)
0 13624
18.5%
1 313
 
0.4%
2 485
 
0.7%
3 720
 
1.0%
4 970
 
1.3%
ValueCountFrequency (%)
51222 1
< 0.1%
9788 1
< 0.1%
6003 1
< 0.1%
5834 1
< 0.1%
4999 1
< 0.1%

V913
Real number (ℝ)

SKEWED  ZEROS 

Distinct96
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2439487938
Minimum0
Maximum666
Zeros69256
Zeros (%)94.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:29.605386image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum666
Range666
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.39798884
Coefficient of variation (CV)22.1275488
Kurtosis8322.856215
Mean0.2439487938
Median Absolute Deviation (MAD)0
Skewness77.77428282
Sum17970
Variance29.13828351
MonotonicityNot monotonic
2024-03-09T21:20:29.856486image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69256
94.0%
1 2937
 
4.0%
2 718
 
1.0%
3 261
 
0.4%
4 129
 
0.2%
5 80
 
0.1%
6 47
 
0.1%
7 35
 
< 0.1%
8 19
 
< 0.1%
9 18
 
< 0.1%
Other values (86) 163
 
0.2%
ValueCountFrequency (%)
0 69256
94.0%
1 2937
 
4.0%
2 718
 
1.0%
3 261
 
0.4%
4 129
 
0.2%
ValueCountFrequency (%)
666 1
< 0.1%
648 1
< 0.1%
602 1
< 0.1%
201 1
< 0.1%
197 1
< 0.1%

V914
Real number (ℝ)

SKEWED  ZEROS 

Distinct102
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2447768893
Minimum0
Maximum720
Zeros70084
Zeros (%)95.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:30.139433image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum720
Range720
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.889543575
Coefficient of variation (CV)24.06086453
Kurtosis6795.201628
Mean0.2447768893
Median Absolute Deviation (MAD)0
Skewness69.03847341
Sum18031
Variance34.68672352
MonotonicityNot monotonic
2024-03-09T21:20:30.422291image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70084
95.1%
1 2404
 
3.3%
2 579
 
0.8%
3 207
 
0.3%
4 111
 
0.2%
5 56
 
0.1%
6 38
 
0.1%
7 15
 
< 0.1%
8 12
 
< 0.1%
9 8
 
< 0.1%
Other values (92) 149
 
0.2%
ValueCountFrequency (%)
0 70084
95.1%
1 2404
 
3.3%
2 579
 
0.8%
3 207
 
0.3%
4 111
 
0.2%
ValueCountFrequency (%)
720 1
< 0.1%
680 1
< 0.1%
544 1
< 0.1%
246 1
< 0.1%
239 1
< 0.1%

V915
Real number (ℝ)

SKEWED  ZEROS 

Distinct126
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4887256832
Minimum0
Maximum1368
Zeros67366
Zeros (%)91.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:30.680891image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1368
Range1368
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.1821941
Coefficient of variation (CV)22.88030788
Kurtosis7664.979983
Mean0.4887256832
Median Absolute Deviation (MAD)0
Skewness73.83583224
Sum36001
Variance125.0414649
MonotonicityNot monotonic
2024-03-09T21:20:30.955703image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67366
91.5%
1 3826
 
5.2%
2 1084
 
1.5%
3 459
 
0.6%
4 244
 
0.3%
5 154
 
0.2%
6 92
 
0.1%
7 80
 
0.1%
8 47
 
0.1%
9 39
 
0.1%
Other values (116) 272
 
0.4%
ValueCountFrequency (%)
0 67366
91.5%
1 3826
 
5.2%
2 1084
 
1.5%
3 459
 
0.6%
4 244
 
0.3%
ValueCountFrequency (%)
1368 1
< 0.1%
1346 1
< 0.1%
1146 1
< 0.1%
447 1
< 0.1%
408 2
< 0.1%

V916
Real number (ℝ)

ZEROS 

Distinct76
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3039382051
Minimum0
Maximum146
Zeros68793
Zeros (%)93.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:31.234798image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum146
Range146
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.552301403
Coefficient of variation (CV)8.39743527
Kurtosis536.5551374
Mean0.3039382051
Median Absolute Deviation (MAD)0
Skewness18.86687159
Sum22389
Variance6.514242452
MonotonicityNot monotonic
2024-03-09T21:20:31.507152image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68793
93.4%
1 2375
 
3.2%
2 848
 
1.2%
3 417
 
0.6%
4 221
 
0.3%
6 135
 
0.2%
5 131
 
0.2%
8 64
 
0.1%
7 61
 
0.1%
9 52
 
0.1%
Other values (66) 566
 
0.8%
ValueCountFrequency (%)
0 68793
93.4%
1 2375
 
3.2%
2 848
 
1.2%
3 417
 
0.6%
4 221
 
0.3%
ValueCountFrequency (%)
146 1
< 0.1%
120 1
< 0.1%
104 1
< 0.1%
91 1
< 0.1%
83 2
< 0.1%

V917
Real number (ℝ)

SKEWED  ZEROS 

Distinct53
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1710763884
Minimum0
Maximum101
Zeros70363
Zeros (%)95.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:31.790667image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum101
Range101
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.651206136
Coefficient of variation (CV)9.651864595
Kurtosis823.6000026
Mean0.1710763884
Median Absolute Deviation (MAD)0
Skewness23.26762604
Sum12602
Variance2.726481705
MonotonicityNot monotonic
2024-03-09T21:20:32.041813image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70363
95.5%
1 1766
 
2.4%
2 507
 
0.7%
3 227
 
0.3%
4 142
 
0.2%
5 116
 
0.2%
6 67
 
0.1%
7 57
 
0.1%
8 44
 
0.1%
11 43
 
0.1%
Other values (43) 331
 
0.4%
ValueCountFrequency (%)
0 70363
95.5%
1 1766
 
2.4%
2 507
 
0.7%
3 227
 
0.3%
4 142
 
0.2%
ValueCountFrequency (%)
101 1
< 0.1%
86 2
< 0.1%
81 1
< 0.1%
66 2
< 0.1%
61 1
< 0.1%

V918
Real number (ℝ)

SKEWED  ZEROS 

Distinct106
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4750145935
Minimum0
Maximum247
Zeros67760
Zeros (%)92.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:32.328403image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum247
Range247
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.088745918
Coefficient of variation (CV)8.60762169
Kurtosis626.0808819
Mean0.4750145935
Median Absolute Deviation (MAD)0
Skewness20.15318996
Sum34991
Variance16.71784318
MonotonicityNot monotonic
2024-03-09T21:20:32.599589image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67760
92.0%
1 2648
 
3.6%
2 1049
 
1.4%
3 519
 
0.7%
4 335
 
0.5%
5 195
 
0.3%
6 145
 
0.2%
7 104
 
0.1%
8 76
 
0.1%
9 62
 
0.1%
Other values (96) 770
 
1.0%
ValueCountFrequency (%)
0 67760
92.0%
1 2648
 
3.6%
2 1049
 
1.4%
3 519
 
0.7%
4 335
 
0.5%
ValueCountFrequency (%)
247 1
< 0.1%
201 1
< 0.1%
190 1
< 0.1%
177 1
< 0.1%
131 1
< 0.1%

V919
Real number (ℝ)

SKEWED  ZEROS 

Distinct75
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09221725968
Minimum0
Maximum154
Zeros72641
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:32.850845image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum154
Range154
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.12675802
Coefficient of variation (CV)23.06247254
Kurtosis1994.572438
Mean0.09221725968
Median Absolute Deviation (MAD)0
Skewness40.56064053
Sum6793
Variance4.523099674
MonotonicityNot monotonic
2024-03-09T21:20:33.155441image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72641
98.6%
1 584
 
0.8%
2 149
 
0.2%
3 69
 
0.1%
4 33
 
< 0.1%
5 22
 
< 0.1%
6 13
 
< 0.1%
10 10
 
< 0.1%
12 9
 
< 0.1%
15 6
 
< 0.1%
Other values (65) 127
 
0.2%
ValueCountFrequency (%)
0 72641
98.6%
1 584
 
0.8%
2 149
 
0.2%
3 69
 
0.1%
4 33
 
< 0.1%
ValueCountFrequency (%)
154 1
< 0.1%
134 1
< 0.1%
124 2
< 0.1%
121 1
< 0.1%
115 2
< 0.1%

V920
Real number (ℝ)

SKEWED  ZEROS 

Distinct74
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09194575296
Minimum0
Maximum157
Zeros72849
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:33.442351image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum157
Range157
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.289849885
Coefficient of variation (CV)24.90435732
Kurtosis2040.939105
Mean0.09194575296
Median Absolute Deviation (MAD)0
Skewness40.93017569
Sum6773
Variance5.243412498
MonotonicityNot monotonic
2024-03-09T21:20:33.727558image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72849
98.9%
1 461
 
0.6%
2 109
 
0.1%
3 58
 
0.1%
4 26
 
< 0.1%
5 9
 
< 0.1%
6 8
 
< 0.1%
10 8
 
< 0.1%
30 6
 
< 0.1%
29 5
 
< 0.1%
Other values (64) 124
 
0.2%
ValueCountFrequency (%)
0 72849
98.9%
1 461
 
0.6%
2 109
 
0.1%
3 58
 
0.1%
4 26
 
< 0.1%
ValueCountFrequency (%)
157 1
< 0.1%
155 1
< 0.1%
147 1
< 0.1%
146 1
< 0.1%
139 1
< 0.1%

V921
Real number (ℝ)

SKEWED  ZEROS 

Distinct113
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1841630126
Minimum0
Maximum300
Zeros72294
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:33.994940image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum300
Range300
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.335336269
Coefficient of variation (CV)23.5407545
Kurtosis1905.575383
Mean0.1841630126
Median Absolute Deviation (MAD)0
Skewness39.67114809
Sum13566
Variance18.79514057
MonotonicityNot monotonic
2024-03-09T21:20:34.277423image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72294
98.1%
1 723
 
1.0%
2 221
 
0.3%
3 111
 
0.2%
4 51
 
0.1%
5 38
 
0.1%
6 27
 
< 0.1%
8 15
 
< 0.1%
7 14
 
< 0.1%
9 6
 
< 0.1%
Other values (103) 163
 
0.2%
ValueCountFrequency (%)
0 72294
98.1%
1 723
 
1.0%
2 221
 
0.3%
3 111
 
0.2%
4 51
 
0.1%
ValueCountFrequency (%)
300 1
< 0.1%
279 1
< 0.1%
260 1
< 0.1%
258 1
< 0.1%
252 1
< 0.1%

V922
Real number (ℝ)

SKEWED  ZEROS 

Distinct22
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04314241885
Minimum0
Maximum285
Zeros72344
Zeros (%)98.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:34.505582image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum285
Range285
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.554101992
Coefficient of variation (CV)36.02259756
Kurtosis24633.59666
Mean0.04314241885
Median Absolute Deviation (MAD)0
Skewness150.8914092
Sum3178
Variance2.415233002
MonotonicityNot monotonic
2024-03-09T21:20:34.707975image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 72344
98.2%
1 898
 
1.2%
2 190
 
0.3%
3 65
 
0.1%
4 59
 
0.1%
5 37
 
0.1%
7 20
 
< 0.1%
6 18
 
< 0.1%
10 7
 
< 0.1%
11 7
 
< 0.1%
Other values (12) 18
 
< 0.1%
ValueCountFrequency (%)
0 72344
98.2%
1 898
 
1.2%
2 190
 
0.3%
3 65
 
0.1%
4 59
 
0.1%
ValueCountFrequency (%)
285 1
< 0.1%
232 1
< 0.1%
182 1
< 0.1%
20 1
< 0.1%
18 1
< 0.1%

V923
Real number (ℝ)

SKEWED  ZEROS 

Distinct23
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04414699374
Minimum0
Maximum346
Zeros72419
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:34.912338image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum346
Range346
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.975146388
Coefficient of variation (CV)44.74022397
Kurtosis23923.76164
Mean0.04414699374
Median Absolute Deviation (MAD)0
Skewness151.3643751
Sum3252
Variance3.901203252
MonotonicityNot monotonic
2024-03-09T21:20:35.138935image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 72419
98.3%
1 826
 
1.1%
2 205
 
0.3%
3 81
 
0.1%
4 32
 
< 0.1%
5 27
 
< 0.1%
6 25
 
< 0.1%
7 14
 
< 0.1%
8 9
 
< 0.1%
9 7
 
< 0.1%
Other values (13) 18
 
< 0.1%
ValueCountFrequency (%)
0 72419
98.3%
1 826
 
1.1%
2 205
 
0.3%
3 81
 
0.1%
4 32
 
< 0.1%
ValueCountFrequency (%)
346 1
< 0.1%
287 1
< 0.1%
275 1
< 0.1%
25 1
< 0.1%
20 1
< 0.1%

V924
Real number (ℝ)

SKEWED  ZEROS 

Distinct32
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0872894126
Minimum0
Maximum631
Zeros71678
Zeros (%)97.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:35.388913image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum631
Range631
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.514131185
Coefficient of variation (CV)40.25838966
Kurtosis24439.13438
Mean0.0872894126
Median Absolute Deviation (MAD)0
Skewness152.2839745
Sum6430
Variance12.34911799
MonotonicityNot monotonic
2024-03-09T21:20:36.422586image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 71678
97.3%
1 1188
 
1.6%
2 328
 
0.4%
3 155
 
0.2%
4 82
 
0.1%
5 52
 
0.1%
6 34
 
< 0.1%
7 28
 
< 0.1%
8 18
 
< 0.1%
11 16
 
< 0.1%
Other values (22) 84
 
0.1%
ValueCountFrequency (%)
0 71678
97.3%
1 1188
 
1.6%
2 328
 
0.4%
3 155
 
0.2%
4 82
 
0.1%
ValueCountFrequency (%)
631 1
< 0.1%
519 1
< 0.1%
457 1
< 0.1%
43 1
< 0.1%
36 1
< 0.1%

V925
Real number (ℝ)

SKEWED  ZEROS 

Distinct23
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02740860405
Minimum0
Maximum54
Zeros72586
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:36.642611image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum54
Range54
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4464124266
Coefficient of variation (CV)16.28730984
Kurtosis5127.136696
Mean0.02740860405
Median Absolute Deviation (MAD)0
Skewness58.23929629
Sum2019
Variance0.1992840546
MonotonicityNot monotonic
2024-03-09T21:20:36.877812image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 72586
98.5%
1 791
 
1.1%
2 151
 
0.2%
3 41
 
0.1%
4 28
 
< 0.1%
5 19
 
< 0.1%
6 9
 
< 0.1%
8 8
 
< 0.1%
9 7
 
< 0.1%
11 4
 
< 0.1%
Other values (13) 19
 
< 0.1%
ValueCountFrequency (%)
0 72586
98.5%
1 791
 
1.1%
2 151
 
0.2%
3 41
 
0.1%
4 28
 
< 0.1%
ValueCountFrequency (%)
54 1
< 0.1%
41 1
< 0.1%
33 1
< 0.1%
32 1
< 0.1%
27 1
< 0.1%

V926
Real number (ℝ)

SKEWED  ZEROS 

Distinct23
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02534515293
Minimum0
Maximum96
Zeros72728
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:37.105635image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum96
Range96
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6086861036
Coefficient of variation (CV)24.01587812
Kurtosis13400.98238
Mean0.02534515293
Median Absolute Deviation (MAD)0
Skewness101.8196361
Sum1867
Variance0.3704987728
MonotonicityNot monotonic
2024-03-09T21:20:37.343057image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 72728
98.7%
1 701
 
1.0%
2 106
 
0.1%
3 55
 
0.1%
5 18
 
< 0.1%
4 15
 
< 0.1%
6 11
 
< 0.1%
8 5
 
< 0.1%
7 4
 
< 0.1%
9 4
 
< 0.1%
Other values (13) 16
 
< 0.1%
ValueCountFrequency (%)
0 72728
98.7%
1 701
 
1.0%
2 106
 
0.1%
3 55
 
0.1%
4 15
 
< 0.1%
ValueCountFrequency (%)
96 1
< 0.1%
75 1
< 0.1%
63 1
< 0.1%
34 1
< 0.1%
31 1
< 0.1%

V927
Real number (ℝ)

SKEWED  ZEROS 

Distinct33
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05275375697
Minimum0
Maximum150
Zeros71984
Zeros (%)97.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:37.581606image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum150
Range150
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.018128682
Coefficient of variation (CV)19.2996431
Kurtosis10294.78144
Mean0.05275375697
Median Absolute Deviation (MAD)0
Skewness86.94367903
Sum3886
Variance1.036586013
MonotonicityNot monotonic
2024-03-09T21:20:37.817761image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 71984
97.7%
1 1186
 
1.6%
2 230
 
0.3%
3 80
 
0.1%
4 51
 
0.1%
5 22
 
< 0.1%
6 21
 
< 0.1%
7 17
 
< 0.1%
9 16
 
< 0.1%
10 9
 
< 0.1%
Other values (23) 47
 
0.1%
ValueCountFrequency (%)
0 71984
97.7%
1 1186
 
1.6%
2 230
 
0.3%
3 80
 
0.1%
4 51
 
0.1%
ValueCountFrequency (%)
150 1
< 0.1%
116 1
< 0.1%
96 1
< 0.1%
66 1
< 0.1%
58 1
< 0.1%

V928
Real number (ℝ)

SKEWED  ZEROS 

Distinct102
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4490992764
Minimum0
Maximum1754
Zeros69602
Zeros (%)94.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:38.069011image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1754
Range1754
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.77618089
Coefficient of variation (CV)23.99509741
Kurtosis20049.60272
Mean0.4490992764
Median Absolute Deviation (MAD)0
Skewness133.4017841
Sum33082
Variance116.1260745
MonotonicityNot monotonic
2024-03-09T21:20:38.355718image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69602
94.5%
1 1496
 
2.0%
2 634
 
0.9%
3 367
 
0.5%
4 237
 
0.3%
5 165
 
0.2%
6 134
 
0.2%
7 126
 
0.2%
8 94
 
0.1%
9 78
 
0.1%
Other values (92) 730
 
1.0%
ValueCountFrequency (%)
0 69602
94.5%
1 1496
 
2.0%
2 634
 
0.9%
3 367
 
0.5%
4 237
 
0.3%
ValueCountFrequency (%)
1754 1
< 0.1%
1637 1
< 0.1%
1346 1
< 0.1%
203 1
< 0.1%
199 1
< 0.1%

V929
Real number (ℝ)

SKEWED  ZEROS 

Distinct129
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6487110218
Minimum0
Maximum2789
Zeros69563
Zeros (%)94.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:38.626400image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2789
Range2789
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.82564331
Coefficient of variation (CV)27.4785578
Kurtosis20378.13182
Mean0.6487110218
Median Absolute Deviation (MAD)0
Skewness136.692899
Sum47786
Variance317.7535594
MonotonicityNot monotonic
2024-03-09T21:20:38.893693image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69563
94.4%
1 1302
 
1.8%
2 590
 
0.8%
3 355
 
0.5%
4 230
 
0.3%
5 153
 
0.2%
6 150
 
0.2%
8 113
 
0.2%
9 112
 
0.2%
7 104
 
0.1%
Other values (119) 991
 
1.3%
ValueCountFrequency (%)
0 69563
94.4%
1 1302
 
1.8%
2 590
 
0.8%
3 355
 
0.5%
4 230
 
0.3%
ValueCountFrequency (%)
2789 1
< 0.1%
2618 1
< 0.1%
2578 1
< 0.1%
333 1
< 0.1%
309 1
< 0.1%

V930
Real number (ℝ)

SKEWED  ZEROS 

Distinct181
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.097810298
Minimum0
Maximum4543
Zeros68408
Zeros (%)92.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:39.155761image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum4543
Range4543
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.50503364
Coefficient of variation (CV)25.96535456
Kurtosis20360.16772
Mean1.097810298
Median Absolute Deviation (MAD)0
Skewness136.1390611
Sum80868
Variance812.5369427
MonotonicityNot monotonic
2024-03-09T21:20:39.422278image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68408
92.9%
1 1706
 
2.3%
2 693
 
0.9%
3 387
 
0.5%
4 291
 
0.4%
5 192
 
0.3%
6 180
 
0.2%
7 149
 
0.2%
8 110
 
0.1%
9 98
 
0.1%
Other values (171) 1449
 
2.0%
ValueCountFrequency (%)
0 68408
92.9%
1 1706
 
2.3%
2 693
 
0.9%
3 387
 
0.5%
4 291
 
0.4%
ValueCountFrequency (%)
4543 1
< 0.1%
4255 1
< 0.1%
3924 1
< 0.1%
512 1
< 0.1%
511 1
< 0.1%

V931
Real number (ℝ)

SKEWED  ZEROS 

Distinct17
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01686056772
Minimum0
Maximum102
Zeros72962
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:39.644478image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum102
Range102
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4478302909
Coefficient of variation (CV)26.56080734
Kurtosis36684.24603
Mean0.01686056772
Median Absolute Deviation (MAD)0
Skewness166.3215916
Sum1242
Variance0.2005519695
MonotonicityNot monotonic
2024-03-09T21:20:39.863981image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 72962
99.0%
1 538
 
0.7%
2 89
 
0.1%
3 29
 
< 0.1%
4 12
 
< 0.1%
7 6
 
< 0.1%
5 5
 
< 0.1%
10 5
 
< 0.1%
6 4
 
< 0.1%
8 3
 
< 0.1%
Other values (7) 10
 
< 0.1%
ValueCountFrequency (%)
0 72962
99.0%
1 538
 
0.7%
2 89
 
0.1%
3 29
 
< 0.1%
4 12
 
< 0.1%
ValueCountFrequency (%)
102 1
< 0.1%
20 1
< 0.1%
17 1
< 0.1%
14 2
< 0.1%
13 2
< 0.1%

V932
Real number (ℝ)

SKEWED  ZEROS 

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01745788252
Minimum0
Maximum173
Zeros72935
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:40.068537image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum173
Range173
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6788235055
Coefficient of variation (CV)38.88349602
Kurtosis57398.92287
Mean0.01745788252
Median Absolute Deviation (MAD)0
Skewness227.6812506
Sum1286
Variance0.4608013516
MonotonicityNot monotonic
2024-03-09T21:20:40.272809image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 72935
99.0%
1 537
 
0.7%
2 115
 
0.2%
3 38
 
0.1%
4 19
 
< 0.1%
5 6
 
< 0.1%
6 3
 
< 0.1%
7 3
 
< 0.1%
11 2
 
< 0.1%
9 2
 
< 0.1%
Other values (3) 3
 
< 0.1%
ValueCountFrequency (%)
0 72935
99.0%
1 537
 
0.7%
2 115
 
0.2%
3 38
 
0.1%
4 19
 
< 0.1%
ValueCountFrequency (%)
173 1
< 0.1%
39 1
< 0.1%
11 2
< 0.1%
9 2
< 0.1%
8 1
< 0.1%

V933
Real number (ℝ)

SKEWED  ZEROS 

Distinct23
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03431845024
Minimum0
Maximum275
Zeros72475
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:40.498467image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum275
Range275
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.101308784
Coefficient of variation (CV)32.09086588
Kurtosis52883.79259
Mean0.03431845024
Median Absolute Deviation (MAD)0
Skewness214.5925058
Sum2528
Variance1.212881037
MonotonicityNot monotonic
2024-03-09T21:20:40.703325image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 72475
98.4%
1 815
 
1.1%
2 195
 
0.3%
3 70
 
0.1%
4 36
 
< 0.1%
5 24
 
< 0.1%
6 8
 
< 0.1%
8 7
 
< 0.1%
13 6
 
< 0.1%
14 5
 
< 0.1%
Other values (13) 22
 
< 0.1%
ValueCountFrequency (%)
0 72475
98.4%
1 815
 
1.1%
2 195
 
0.3%
3 70
 
0.1%
4 36
 
< 0.1%
ValueCountFrequency (%)
275 1
< 0.1%
59 1
< 0.1%
28 1
< 0.1%
24 1
< 0.1%
22 1
< 0.1%

V934
Real number (ℝ)

SKEWED  ZEROS 

Distinct39
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06922063994
Minimum0
Maximum86
Zeros71961
Zeros (%)97.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:40.923685image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum86
Range86
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9120157593
Coefficient of variation (CV)13.1754887
Kurtosis2233.859353
Mean0.06922063994
Median Absolute Deviation (MAD)0
Skewness37.77514172
Sum5099
Variance0.8317727452
MonotonicityNot monotonic
2024-03-09T21:20:41.179433image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 71961
97.7%
1 900
 
1.2%
2 326
 
0.4%
3 140
 
0.2%
4 92
 
0.1%
5 59
 
0.1%
6 37
 
0.1%
7 26
 
< 0.1%
8 17
 
< 0.1%
10 14
 
< 0.1%
Other values (29) 91
 
0.1%
ValueCountFrequency (%)
0 71961
97.7%
1 900
 
1.2%
2 326
 
0.4%
3 140
 
0.2%
4 92
 
0.1%
ValueCountFrequency (%)
86 1
< 0.1%
66 1
< 0.1%
52 1
< 0.1%
50 1
< 0.1%
47 1
< 0.1%

V935
Real number (ℝ)

SKEWED  ZEROS 

Distinct35
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04151337849
Minimum0
Maximum115
Zeros72646
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:41.412859image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum115
Range115
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8767791702
Coefficient of variation (CV)21.12040027
Kurtosis6909.214198
Mean0.04151337849
Median Absolute Deviation (MAD)0
Skewness71.02588815
Sum3058
Variance0.7687417133
MonotonicityNot monotonic
2024-03-09T21:20:41.658578image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 72646
98.6%
1 569
 
0.8%
2 182
 
0.2%
3 89
 
0.1%
4 48
 
0.1%
5 30
 
< 0.1%
6 17
 
< 0.1%
8 13
 
< 0.1%
7 11
 
< 0.1%
10 9
 
< 0.1%
Other values (25) 49
 
0.1%
ValueCountFrequency (%)
0 72646
98.6%
1 569
 
0.8%
2 182
 
0.2%
3 89
 
0.1%
4 48
 
0.1%
ValueCountFrequency (%)
115 1
< 0.1%
80 1
< 0.1%
72 1
< 0.1%
66 1
< 0.1%
64 1
< 0.1%

V936
Real number (ℝ)

SKEWED  ZEROS 

Distinct53
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1107340184
Minimum0
Maximum165
Zeros71587
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:41.909868image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum165
Range165
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.677914353
Coefficient of variation (CV)15.15265477
Kurtosis3884.324263
Mean0.1107340184
Median Absolute Deviation (MAD)0
Skewness52.28566991
Sum8157
Variance2.815396576
MonotonicityNot monotonic
2024-03-09T21:20:42.161620image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71587
97.2%
1 1020
 
1.4%
2 361
 
0.5%
3 182
 
0.2%
4 125
 
0.2%
5 70
 
0.1%
7 51
 
0.1%
6 42
 
0.1%
8 38
 
0.1%
9 24
 
< 0.1%
Other values (43) 163
 
0.2%
ValueCountFrequency (%)
0 71587
97.2%
1 1020
 
1.4%
2 361
 
0.5%
3 182
 
0.2%
4 125
 
0.2%
ValueCountFrequency (%)
165 1
< 0.1%
150 1
< 0.1%
127 1
< 0.1%
125 1
< 0.1%
118 1
< 0.1%

V937
Real number (ℝ)

SKEWED  ZEROS 

Distinct166
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.245835766
Minimum0
Maximum2699
Zeros62927
Zeros (%)85.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:42.449712image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum2699
Range2699
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18.54135532
Coefficient of variation (CV)14.88266418
Kurtosis16602.25665
Mean1.245835766
Median Absolute Deviation (MAD)0
Skewness118.0249423
Sum91772
Variance343.7818571
MonotonicityNot monotonic
2024-03-09T21:20:42.717387image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62927
85.4%
1 4346
 
5.9%
2 1737
 
2.4%
3 921
 
1.3%
4 543
 
0.7%
5 394
 
0.5%
6 287
 
0.4%
7 267
 
0.4%
8 212
 
0.3%
9 178
 
0.2%
Other values (156) 1851
 
2.5%
ValueCountFrequency (%)
0 62927
85.4%
1 4346
 
5.9%
2 1737
 
2.4%
3 921
 
1.3%
4 543
 
0.7%
ValueCountFrequency (%)
2699 1
< 0.1%
2622 1
< 0.1%
2581 1
< 0.1%
309 1
< 0.1%
286 1
< 0.1%

V938
Real number (ℝ)

SKEWED  ZEROS 

Distinct185
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.28497346
Minimum0
Maximum4070
Zeros64657
Zeros (%)87.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:42.984272image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum4070
Range4070
Interquartile range (IQR)0

Descriptive statistics

Standard deviation26.09036502
Coefficient of variation (CV)20.30420536
Kurtosis19158.93028
Mean1.28497346
Median Absolute Deviation (MAD)0
Skewness130.4867832
Sum94655
Variance680.7071467
MonotonicityNot monotonic
2024-03-09T21:20:43.274800image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64657
87.8%
1 3643
 
4.9%
2 1350
 
1.8%
3 656
 
0.9%
4 425
 
0.6%
5 318
 
0.4%
6 211
 
0.3%
8 199
 
0.3%
7 196
 
0.3%
9 174
 
0.2%
Other values (175) 1834
 
2.5%
ValueCountFrequency (%)
0 64657
87.8%
1 3643
 
4.9%
2 1350
 
1.8%
3 656
 
0.9%
4 425
 
0.6%
ValueCountFrequency (%)
4070 1
< 0.1%
3765 1
< 0.1%
3659 1
< 0.1%
474 1
< 0.1%
368 1
< 0.1%

V939
Real number (ℝ)

SKEWED  ZEROS 

Distinct265
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.530809226
Minimum0
Maximum6692
Zeros60527
Zeros (%)82.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:43.580997image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum6692
Range6692
Interquartile range (IQR)0

Descriptive statistics

Standard deviation44.42756985
Coefficient of variation (CV)17.55468939
Kurtosis18333.23575
Mean2.530809226
Median Absolute Deviation (MAD)0
Skewness126.5993251
Sum186427
Variance1973.808963
MonotonicityNot monotonic
2024-03-09T21:20:43.864199image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60527
82.2%
1 4699
 
6.4%
2 2122
 
2.9%
3 1103
 
1.5%
4 731
 
1.0%
5 467
 
0.6%
6 354
 
0.5%
7 306
 
0.4%
8 222
 
0.3%
9 198
 
0.3%
Other values (255) 2934
 
4.0%
ValueCountFrequency (%)
0 60527
82.2%
1 4699
 
6.4%
2 2122
 
2.9%
3 1103
 
1.5%
4 731
 
1.0%
ValueCountFrequency (%)
6692 1
< 0.1%
6464 1
< 0.1%
6240 1
< 0.1%
721 1
< 0.1%
654 1
< 0.1%

V940
Real number (ℝ)

ZEROS 

Distinct121
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9292317717
Minimum0
Maximum400
Zeros64107
Zeros (%)87.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:44.131594image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum400
Range400
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.585977555
Coefficient of variation (CV)6.011393202
Kurtosis735.7362501
Mean0.9292317717
Median Absolute Deviation (MAD)0
Skewness19.90730613
Sum68450
Variance31.20314525
MonotonicityNot monotonic
2024-03-09T21:20:44.418695image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64107
87.0%
1 2266
 
3.1%
2 1675
 
2.3%
3 1164
 
1.6%
4 741
 
1.0%
5 726
 
1.0%
6 387
 
0.5%
10 365
 
0.5%
8 309
 
0.4%
7 257
 
0.3%
Other values (111) 1666
 
2.3%
ValueCountFrequency (%)
0 64107
87.0%
1 2266
 
3.1%
2 1675
 
2.3%
3 1164
 
1.6%
4 741
 
1.0%
ValueCountFrequency (%)
400 1
< 0.1%
286 1
< 0.1%
211 1
< 0.1%
206 1
< 0.1%
205 1
< 0.1%

V941
Real number (ℝ)

ZEROS 

Distinct166
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.323663169
Minimum0
Maximum371
Zeros63270
Zeros (%)85.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:44.687764image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum371
Range371
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.021665383
Coefficient of variation (CV)6.060201396
Kurtosis488.4618682
Mean1.323663169
Median Absolute Deviation (MAD)0
Skewness18.06756277
Sum97505
Variance64.34711551
MonotonicityNot monotonic
2024-03-09T21:20:44.954873image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63270
85.9%
1 1804
 
2.4%
2 1585
 
2.2%
3 1233
 
1.7%
4 845
 
1.1%
5 832
 
1.1%
6 557
 
0.8%
10 389
 
0.5%
8 381
 
0.5%
7 369
 
0.5%
Other values (156) 2398
 
3.3%
ValueCountFrequency (%)
0 63270
85.9%
1 1804
 
2.4%
2 1585
 
2.2%
3 1233
 
1.7%
4 845
 
1.1%
ValueCountFrequency (%)
371 1
< 0.1%
325 1
< 0.1%
313 1
< 0.1%
312 1
< 0.1%
301 1
< 0.1%

V942
Real number (ℝ)

ZEROS 

Distinct226
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.25289494
Minimum0
Maximum683
Zeros62395
Zeros (%)84.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:45.226026image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile11
Maximum683
Range683
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.30037594
Coefficient of variation (CV)5.903682283
Kurtosis495.1772877
Mean2.25289494
Median Absolute Deviation (MAD)0
Skewness17.8350618
Sum165955
Variance176.9000003
MonotonicityNot monotonic
2024-03-09T21:20:45.505419image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62395
84.7%
1 1344
 
1.8%
2 1251
 
1.7%
3 961
 
1.3%
4 871
 
1.2%
6 745
 
1.0%
5 696
 
0.9%
7 475
 
0.6%
8 464
 
0.6%
10 374
 
0.5%
Other values (216) 4087
 
5.5%
ValueCountFrequency (%)
0 62395
84.7%
1 1344
 
1.8%
2 1251
 
1.7%
3 961
 
1.3%
4 871
 
1.2%
ValueCountFrequency (%)
683 1
< 0.1%
598 1
< 0.1%
543 1
< 0.1%
476 1
< 0.1%
463 1
< 0.1%

V943
Real number (ℝ)

ZEROS 

Distinct82
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6847535398
Minimum0
Maximum278
Zeros66798
Zeros (%)90.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:45.751635image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum278
Range278
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.974521341
Coefficient of variation (CV)5.804309303
Kurtosis620.449112
Mean0.6847535398
Median Absolute Deviation (MAD)0
Skewness16.97233235
Sum50441
Variance15.79681989
MonotonicityNot monotonic
2024-03-09T21:20:46.002804image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66798
90.7%
1 1354
 
1.8%
2 1182
 
1.6%
3 725
 
1.0%
5 578
 
0.8%
4 496
 
0.7%
10 327
 
0.4%
6 315
 
0.4%
8 266
 
0.4%
7 223
 
0.3%
Other values (72) 1399
 
1.9%
ValueCountFrequency (%)
0 66798
90.7%
1 1354
 
1.8%
2 1182
 
1.6%
3 725
 
1.0%
4 496
 
0.7%
ValueCountFrequency (%)
278 1
< 0.1%
194 1
< 0.1%
170 1
< 0.1%
150 1
< 0.1%
146 1
< 0.1%

V944
Real number (ℝ)

ZEROS 

Distinct108
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9234351031
Minimum0
Maximum264
Zeros66091
Zeros (%)89.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:46.253912image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum264
Range264
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.147560809
Coefficient of variation (CV)5.5743612
Kurtosis342.0635743
Mean0.9234351031
Median Absolute Deviation (MAD)0
Skewness13.56682482
Sum68023
Variance26.49738229
MonotonicityNot monotonic
2024-03-09T21:20:46.574275image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66091
89.7%
1 1232
 
1.7%
2 1120
 
1.5%
3 795
 
1.1%
5 609
 
0.8%
4 589
 
0.8%
6 380
 
0.5%
10 345
 
0.5%
8 317
 
0.4%
7 283
 
0.4%
Other values (98) 1902
 
2.6%
ValueCountFrequency (%)
0 66091
89.7%
1 1232
 
1.7%
2 1120
 
1.5%
3 795
 
1.1%
4 589
 
0.8%
ValueCountFrequency (%)
264 1
< 0.1%
261 1
< 0.1%
203 1
< 0.1%
155 1
< 0.1%
139 1
< 0.1%

V945
Real number (ℝ)

ZEROS 

Distinct158
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.608188643
Minimum0
Maximum539
Zeros65392
Zeros (%)88.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:46.830220image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8
Maximum539
Range539
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.877485366
Coefficient of variation (CV)5.520176632
Kurtosis408.6235811
Mean1.608188643
Median Absolute Deviation (MAD)0
Skewness14.30412677
Sum118464
Variance78.80974642
MonotonicityNot monotonic
2024-03-09T21:20:47.130448image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65392
88.8%
1 1008
 
1.4%
2 873
 
1.2%
3 673
 
0.9%
4 588
 
0.8%
5 485
 
0.7%
6 391
 
0.5%
8 344
 
0.5%
10 333
 
0.5%
7 330
 
0.4%
Other values (148) 3246
 
4.4%
ValueCountFrequency (%)
0 65392
88.8%
1 1008
 
1.4%
2 873
 
1.2%
3 673
 
0.9%
4 588
 
0.8%
ValueCountFrequency (%)
539 1
< 0.1%
410 1
< 0.1%
325 1
< 0.1%
283 1
< 0.1%
273 1
< 0.1%

V946
Real number (ℝ)

SKEWED  ZEROS 

Distinct86
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4225459186
Minimum0
Maximum328
Zeros69283
Zeros (%)94.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:47.405611image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum328
Range328
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.540262904
Coefficient of variation (CV)8.378409892
Kurtosis1745.424678
Mean0.4225459186
Median Absolute Deviation (MAD)0
Skewness30.17609378
Sum31126
Variance12.53346143
MonotonicityNot monotonic
2024-03-09T21:20:47.685305image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69283
94.1%
1 928
 
1.3%
2 763
 
1.0%
3 505
 
0.7%
5 349
 
0.5%
4 344
 
0.5%
10 240
 
0.3%
6 212
 
0.3%
8 138
 
0.2%
7 123
 
0.2%
Other values (76) 778
 
1.1%
ValueCountFrequency (%)
0 69283
94.1%
1 928
 
1.3%
2 763
 
1.0%
3 505
 
0.7%
4 344
 
0.5%
ValueCountFrequency (%)
328 1
< 0.1%
246 1
< 0.1%
185 1
< 0.1%
164 1
< 0.1%
150 1
< 0.1%

V947
Real number (ℝ)

SKEWED  ZEROS 

Distinct94
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5217952025
Minimum0
Maximum403
Zeros68906
Zeros (%)93.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:48.777878image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum403
Range403
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.367220188
Coefficient of variation (CV)8.369605867
Kurtosis1814.651751
Mean0.5217952025
Median Absolute Deviation (MAD)0
Skewness31.58078506
Sum38437
Variance19.07261217
MonotonicityNot monotonic
2024-03-09T21:20:49.070684image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68906
93.5%
1 898
 
1.2%
2 716
 
1.0%
3 525
 
0.7%
5 437
 
0.6%
4 394
 
0.5%
6 246
 
0.3%
10 203
 
0.3%
7 180
 
0.2%
8 152
 
0.2%
Other values (84) 1006
 
1.4%
ValueCountFrequency (%)
0 68906
93.5%
1 898
 
1.2%
2 716
 
1.0%
3 525
 
0.7%
4 394
 
0.5%
ValueCountFrequency (%)
403 1
< 0.1%
274 1
< 0.1%
258 1
< 0.1%
218 1
< 0.1%
210 1
< 0.1%

V948
Real number (ℝ)

SKEWED  ZEROS 

Distinct141
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9443411211
Minimum0
Maximum649
Zeros68440
Zeros (%)92.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:49.355495image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum649
Range649
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.665757465
Coefficient of variation (CV)8.117572447
Kurtosis1640.89602
Mean0.9443411211
Median Absolute Deviation (MAD)0
Skewness29.65725459
Sum69563
Variance58.76383751
MonotonicityNot monotonic
2024-03-09T21:20:49.621424image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68440
92.9%
1 680
 
0.9%
2 551
 
0.7%
3 418
 
0.6%
4 389
 
0.5%
5 352
 
0.5%
6 300
 
0.4%
7 221
 
0.3%
8 218
 
0.3%
10 202
 
0.3%
Other values (131) 1892
 
2.6%
ValueCountFrequency (%)
0 68440
92.9%
1 680
 
0.9%
2 551
 
0.7%
3 418
 
0.6%
4 389
 
0.5%
ValueCountFrequency (%)
649 1
< 0.1%
602 1
< 0.1%
381 1
< 0.1%
360 1
< 0.1%
311 1
< 0.1%

V949
Real number (ℝ)

SKEWED  ZEROS 

Distinct83
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6592183321
Minimum0
Maximum306
Zeros66097
Zeros (%)89.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:49.794342image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum306
Range306
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.808291809
Coefficient of variation (CV)5.776981044
Kurtosis1059.253504
Mean0.6592183321
Median Absolute Deviation (MAD)0
Skewness21.41110956
Sum48560
Variance14.5030865
MonotonicityNot monotonic
2024-03-09T21:20:50.038914image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66097
89.7%
1 1782
 
2.4%
2 1342
 
1.8%
3 880
 
1.2%
5 576
 
0.8%
4 524
 
0.7%
10 358
 
0.5%
6 317
 
0.4%
8 270
 
0.4%
7 212
 
0.3%
Other values (73) 1305
 
1.8%
ValueCountFrequency (%)
0 66097
89.7%
1 1782
 
2.4%
2 1342
 
1.8%
3 880
 
1.2%
4 524
 
0.7%
ValueCountFrequency (%)
306 1
< 0.1%
260 1
< 0.1%
160 1
< 0.1%
145 1
< 0.1%
130 1
< 0.1%

V950
Real number (ℝ)

SKEWED  ZEROS 

Distinct98
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7420957604
Minimum0
Maximum861
Zeros66298
Zeros (%)90.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:50.297101image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum861
Range861
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.398330978
Coefficient of variation (CV)7.274439858
Kurtosis9367.397133
Mean0.7420957604
Median Absolute Deviation (MAD)0
Skewness67.31933388
Sum54665
Variance29.14197735
MonotonicityNot monotonic
2024-03-09T21:20:50.555643image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66298
90.0%
1 1672
 
2.3%
2 1197
 
1.6%
3 799
 
1.1%
4 545
 
0.7%
5 518
 
0.7%
6 335
 
0.5%
10 300
 
0.4%
8 266
 
0.4%
7 218
 
0.3%
Other values (88) 1515
 
2.1%
ValueCountFrequency (%)
0 66298
90.0%
1 1672
 
2.3%
2 1197
 
1.6%
3 799
 
1.1%
4 545
 
0.7%
ValueCountFrequency (%)
861 1
< 0.1%
421 1
< 0.1%
238 1
< 0.1%
155 1
< 0.1%
120 2
< 0.1%

V951
Real number (ℝ)

SKEWED  ZEROS 

Distinct143
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.401314093
Minimum0
Maximum1167
Zeros64912
Zeros (%)88.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:50.775594image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum1167
Range1167
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.878742906
Coefficient of variation (CV)6.336012
Kurtosis4505.707619
Mean1.401314093
Median Absolute Deviation (MAD)0
Skewness43.20979564
Sum103225
Variance78.8320756
MonotonicityNot monotonic
2024-03-09T21:20:51.026921image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64912
88.1%
1 1430
 
1.9%
2 1120
 
1.5%
3 781
 
1.1%
4 632
 
0.9%
5 546
 
0.7%
6 398
 
0.5%
7 334
 
0.5%
8 329
 
0.4%
10 322
 
0.4%
Other values (133) 2859
 
3.9%
ValueCountFrequency (%)
0 64912
88.1%
1 1430
 
1.9%
2 1120
 
1.5%
3 781
 
1.1%
4 632
 
0.9%
ValueCountFrequency (%)
1167 1
< 0.1%
581 1
< 0.1%
498 1
< 0.1%
300 1
< 0.1%
240 1
< 0.1%

V952
Real number (ℝ)

SKEWED  ZEROS 

Distinct98
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4619958459
Minimum0
Maximum448
Zeros69764
Zeros (%)94.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:51.300120image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum448
Range448
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.621366407
Coefficient of variation (CV)10.00304753
Kurtosis2861.469252
Mean0.4619958459
Median Absolute Deviation (MAD)0
Skewness40.1359839
Sum34032
Variance21.35702747
MonotonicityNot monotonic
2024-03-09T21:20:51.542331image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69764
94.7%
1 884
 
1.2%
2 615
 
0.8%
3 366
 
0.5%
5 296
 
0.4%
4 286
 
0.4%
6 157
 
0.2%
10 146
 
0.2%
8 141
 
0.2%
7 118
 
0.2%
Other values (88) 890
 
1.2%
ValueCountFrequency (%)
0 69764
94.7%
1 884
 
1.2%
2 615
 
0.8%
3 366
 
0.5%
4 286
 
0.4%
ValueCountFrequency (%)
448 1
< 0.1%
430 1
< 0.1%
284 1
< 0.1%
271 1
< 0.1%
237 1
< 0.1%

V953
Real number (ℝ)

SKEWED  ZEROS 

Distinct92
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3564204553
Minimum0
Maximum454
Zeros70415
Zeros (%)95.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:51.809080image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum454
Range454
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.925650243
Coefficient of variation (CV)11.01409918
Kurtosis3381.279385
Mean0.3564204553
Median Absolute Deviation (MAD)0
Skewness42.72047682
Sum26255
Variance15.41072983
MonotonicityNot monotonic
2024-03-09T21:20:52.060777image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70415
95.6%
1 810
 
1.1%
2 507
 
0.7%
3 362
 
0.5%
5 241
 
0.3%
4 234
 
0.3%
6 130
 
0.2%
10 118
 
0.2%
8 106
 
0.1%
7 78
 
0.1%
Other values (82) 662
 
0.9%
ValueCountFrequency (%)
0 70415
95.6%
1 810
 
1.1%
2 507
 
0.7%
3 362
 
0.5%
4 234
 
0.3%
ValueCountFrequency (%)
454 1
< 0.1%
283 1
< 0.1%
225 1
< 0.1%
216 1
< 0.1%
189 1
< 0.1%

V954
Real number (ℝ)

SKEWED  ZEROS 

Distinct148
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8184163013
Minimum0
Maximum884
Zeros69395
Zeros (%)94.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:52.330187image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum884
Range884
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.378596471
Coefficient of variation (CV)10.23757281
Kurtosis3080.979319
Mean0.8184163013
Median Absolute Deviation (MAD)0
Skewness41.50454148
Sum60287
Variance70.20087883
MonotonicityNot monotonic
2024-03-09T21:20:52.601945image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69395
94.2%
1 743
 
1.0%
2 529
 
0.7%
3 320
 
0.4%
4 299
 
0.4%
5 229
 
0.3%
6 204
 
0.3%
7 176
 
0.2%
10 162
 
0.2%
8 161
 
0.2%
Other values (138) 1445
 
2.0%
ValueCountFrequency (%)
0 69395
94.2%
1 743
 
1.0%
2 529
 
0.7%
3 320
 
0.4%
4 299
 
0.4%
ValueCountFrequency (%)
884 1
< 0.1%
731 1
< 0.1%
496 1
< 0.1%
473 1
< 0.1%
420 1
< 0.1%

V955
Real number (ℝ)

ZEROS 

Distinct236
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.157745408
Minimum0
Maximum891
Zeros61440
Zeros (%)83.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:52.869866image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile17
Maximum891
Range891
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.04738603
Coefficient of variation (CV)5.081912554
Kurtosis434.4995081
Mean3.157745408
Median Absolute Deviation (MAD)0
Skewness15.22813833
Sum232609
Variance257.5185984
MonotonicityNot monotonic
2024-03-09T21:20:53.123216image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 61440
83.4%
1 1643
 
2.2%
2 1214
 
1.6%
3 960
 
1.3%
4 728
 
1.0%
5 609
 
0.8%
6 468
 
0.6%
7 418
 
0.6%
8 386
 
0.5%
10 348
 
0.5%
Other values (226) 5449
 
7.4%
ValueCountFrequency (%)
0 61440
83.4%
1 1643
 
2.2%
2 1214
 
1.6%
3 960
 
1.3%
4 728
 
1.0%
ValueCountFrequency (%)
891 1
< 0.1%
764 1
< 0.1%
551 1
< 0.1%
539 2
< 0.1%
535 1
< 0.1%

V956
Real number (ℝ)

ZEROS 

Distinct281
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.86740969
Minimum0
Maximum1344
Zeros61054
Zeros (%)82.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:53.398024image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile20
Maximum1344
Range1344
Interquartile range (IQR)0

Descriptive statistics

Standard deviation19.58548131
Coefficient of variation (CV)5.064237533
Kurtosis637.4703024
Mean3.86740969
Median Absolute Deviation (MAD)0
Skewness17.03198712
Sum284885
Variance383.591078
MonotonicityNot monotonic
2024-03-09T21:20:53.684418image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 61054
82.9%
1 1291
 
1.8%
2 1088
 
1.5%
3 904
 
1.2%
4 682
 
0.9%
5 636
 
0.9%
6 572
 
0.8%
7 415
 
0.6%
8 405
 
0.5%
10 344
 
0.5%
Other values (271) 6272
 
8.5%
ValueCountFrequency (%)
0 61054
82.9%
1 1291
 
1.8%
2 1088
 
1.5%
3 904
 
1.2%
4 682
 
0.9%
ValueCountFrequency (%)
1344 1
< 0.1%
1146 1
< 0.1%
647 1
< 0.1%
636 1
< 0.1%
632 1
< 0.1%

V957
Real number (ℝ)

ZEROS 

Distinct420
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.025155098
Minimum0
Maximum2108
Zeros60307
Zeros (%)81.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:53.967417image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile37
Maximum2108
Range2108
Interquartile range (IQR)0

Descriptive statistics

Standard deviation35.23572943
Coefficient of variation (CV)5.015651461
Kurtosis527.9897623
Mean7.025155098
Median Absolute Deviation (MAD)0
Skewness16.06821958
Sum517494
Variance1241.556629
MonotonicityNot monotonic
2024-03-09T21:20:54.218107image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60307
81.9%
1 915
 
1.2%
2 872
 
1.2%
3 695
 
0.9%
4 616
 
0.8%
5 545
 
0.7%
6 494
 
0.7%
7 409
 
0.6%
8 364
 
0.5%
9 358
 
0.5%
Other values (410) 8088
 
11.0%
ValueCountFrequency (%)
0 60307
81.9%
1 915
 
1.2%
2 872
 
1.2%
3 695
 
0.9%
4 616
 
0.8%
ValueCountFrequency (%)
2108 1
< 0.1%
2037 1
< 0.1%
1182 1
< 0.1%
1175 1
< 0.1%
1171 1
< 0.1%

V958
Real number (ℝ)

SKEWED  ZEROS 

Distinct167
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.966333166
Minimum0
Maximum1421
Zeros9900
Zeros (%)13.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:54.491761image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q37
95-th percentile19
Maximum1421
Range1421
Interquartile range (IQR)6

Descriptive statistics

Standard deviation15.39689873
Coefficient of variation (CV)2.580630063
Kurtosis2636.100122
Mean5.966333166
Median Absolute Deviation (MAD)2
Skewness39.10142881
Sum439498
Variance237.0644906
MonotonicityNot monotonic
2024-03-09T21:20:54.651212image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 11392
15.5%
1 10834
14.7%
0 9900
13.4%
3 7808
10.6%
4 5430
7.4%
5 4660
 
6.3%
6 3659
 
5.0%
7 3229
 
4.4%
8 2463
 
3.3%
9 2023
 
2.7%
Other values (157) 12265
16.7%
ValueCountFrequency (%)
0 9900
13.4%
1 10834
14.7%
2 11392
15.5%
3 7808
10.6%
4 5430
7.4%
ValueCountFrequency (%)
1421 1
< 0.1%
1311 1
< 0.1%
1013 1
< 0.1%
876 1
< 0.1%
874 2
< 0.1%

V959
Real number (ℝ)

SKEWED  ZEROS 

Distinct178
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.229572513
Minimum0
Maximum2079
Zeros10172
Zeros (%)13.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:54.917032image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q37
95-th percentile21
Maximum2079
Range2079
Interquartile range (IQR)6

Descriptive statistics

Standard deviation18.76114882
Coefficient of variation (CV)3.011627007
Kurtosis4610.853123
Mean6.229572513
Median Absolute Deviation (MAD)2
Skewness54.06233807
Sum458889
Variance351.9807051
MonotonicityNot monotonic
2024-03-09T21:20:55.172547image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 11692
15.9%
1 10852
14.7%
0 10172
13.8%
3 7529
10.2%
4 4988
 
6.8%
5 4339
 
5.9%
6 3638
 
4.9%
7 3116
 
4.2%
8 2712
 
3.7%
9 2078
 
2.8%
Other values (168) 12547
17.0%
ValueCountFrequency (%)
0 10172
13.8%
1 10852
14.7%
2 11692
15.9%
3 7529
10.2%
4 4988
6.8%
ValueCountFrequency (%)
2079 1
< 0.1%
1762 1
< 0.1%
1602 1
< 0.1%
1280 1
< 0.1%
1105 1
< 0.1%

V960
Real number (ℝ)

SKEWED  ZEROS 

Distinct263
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.19590568
Minimum0
Maximum3500
Zeros5771
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:55.431513image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median6
Q314
95-th percentile39
Maximum3500
Range3500
Interquartile range (IQR)11

Descriptive statistics

Standard deviation33.70863025
Coefficient of variation (CV)2.763930055
Kurtosis3767.267631
Mean12.19590568
Median Absolute Deviation (MAD)4
Skewness48.09702358
Sum898387
Variance1136.271753
MonotonicityNot monotonic
2024-03-09T21:20:55.701208image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 17424
23.7%
0 5771
 
7.8%
5 4641
 
6.3%
4 3489
 
4.7%
10 2745
 
3.7%
2 2697
 
3.7%
8 2553
 
3.5%
6 2470
 
3.4%
9 2404
 
3.3%
7 2359
 
3.2%
Other values (253) 27110
36.8%
ValueCountFrequency (%)
0 5771
 
7.8%
1 1504
 
2.0%
2 2697
 
3.7%
3 17424
23.7%
4 3489
 
4.7%
ValueCountFrequency (%)
3500 1
< 0.1%
3073 1
< 0.1%
2615 1
< 0.1%
2154 1
< 0.1%
1981 1
< 0.1%

V961
Real number (ℝ)

ZEROS 

Distinct467
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.26055143
Minimum0
Maximum3918
Zeros35655
Zeros (%)48.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:55.968562image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q322
95-th percentile112
Maximum3918
Range3918
Interquartile range (IQR)22

Descriptive statistics

Standard deviation51.40464831
Coefficient of variation (CV)2.309226188
Kurtosis510.2552406
Mean22.26055143
Median Absolute Deviation (MAD)3
Skewness11.04959597
Sum1639779
Variance2642.437868
MonotonicityNot monotonic
2024-03-09T21:20:56.251088image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35655
48.4%
9 1170
 
1.6%
12 1159
 
1.6%
11 1147
 
1.6%
10 1142
 
1.6%
7 1132
 
1.5%
13 1101
 
1.5%
6 1083
 
1.5%
8 1068
 
1.4%
15 1000
 
1.4%
Other values (457) 28006
38.0%
ValueCountFrequency (%)
0 35655
48.4%
1 488
 
0.7%
2 653
 
0.9%
3 748
 
1.0%
4 901
 
1.2%
ValueCountFrequency (%)
3918 1
< 0.1%
1486 1
< 0.1%
1351 1
< 0.1%
1350 1
< 0.1%
1336 1
< 0.1%

V962
Real number (ℝ)

ZEROS 

Distinct566
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.74083325
Minimum0
Maximum4408
Zeros35672
Zeros (%)48.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:56.540651image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q323
95-th percentile132
Maximum4408
Range4408
Interquartile range (IQR)23

Descriptive statistics

Standard deviation62.59328324
Coefficient of variation (CV)2.431672768
Kurtosis401.1551223
Mean25.74083325
Median Absolute Deviation (MAD)3
Skewness10.25408489
Sum1896147
Variance3917.919107
MonotonicityNot monotonic
2024-03-09T21:20:56.792437image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35672
48.4%
11 1128
 
1.5%
8 1122
 
1.5%
9 1112
 
1.5%
10 1111
 
1.5%
12 1095
 
1.5%
13 1056
 
1.4%
14 1037
 
1.4%
7 1024
 
1.4%
15 988
 
1.3%
Other values (556) 28318
38.4%
ValueCountFrequency (%)
0 35672
48.4%
1 374
 
0.5%
2 492
 
0.7%
3 696
 
0.9%
4 728
 
1.0%
ValueCountFrequency (%)
4408 1
< 0.1%
1948 1
< 0.1%
1898 1
< 0.1%
1874 1
< 0.1%
1816 1
< 0.1%

V963
Real number (ℝ)

ZEROS 

Distinct892
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.00138468
Minimum0
Maximum8326
Zeros35402
Zeros (%)48.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:57.043623image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q345
95-th percentile245
Maximum8326
Range8326
Interquartile range (IQR)45

Descriptive statistics

Standard deviation113.2007324
Coefficient of variation (CV)2.358280562
Kurtosis454.9937255
Mean48.00138468
Median Absolute Deviation (MAD)7
Skewness10.62742695
Sum3535926
Variance12814.40582
MonotonicityNot monotonic
2024-03-09T21:20:57.322098image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35402
48.1%
19 642
 
0.9%
20 627
 
0.9%
18 606
 
0.8%
21 594
 
0.8%
16 583
 
0.8%
23 582
 
0.8%
22 577
 
0.8%
17 572
 
0.8%
26 569
 
0.8%
Other values (882) 32909
44.7%
ValueCountFrequency (%)
0 35402
48.1%
1 125
 
0.2%
2 127
 
0.2%
3 228
 
0.3%
4 234
 
0.3%
ValueCountFrequency (%)
8326 1
< 0.1%
3234 1
< 0.1%
3224 1
< 0.1%
3211 1
< 0.1%
3167 1
< 0.1%

V964
Real number (ℝ)

SKEWED  ZEROS 

Distinct91
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.095285286
Minimum0
Maximum3130
Zeros35392
Zeros (%)48.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:57.591917image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum3130
Range3130
Interquartile range (IQR)1

Descriptive statistics

Standard deviation14.69775969
Coefficient of variation (CV)13.41911544
Kurtosis29226.35907
Mean1.095285286
Median Absolute Deviation (MAD)1
Skewness151.9608205
Sum80682
Variance216.0241399
MonotonicityNot monotonic
2024-03-09T21:20:57.860769image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35392
48.0%
1 28109
38.2%
2 4528
 
6.1%
3 2253
 
3.1%
4 1646
 
2.2%
5 678
 
0.9%
6 301
 
0.4%
24 183
 
0.2%
7 161
 
0.2%
8 118
 
0.2%
Other values (81) 294
 
0.4%
ValueCountFrequency (%)
0 35392
48.0%
1 28109
38.2%
2 4528
 
6.1%
3 2253
 
3.1%
4 1646
 
2.2%
ValueCountFrequency (%)
3130 1
< 0.1%
1031 2
< 0.1%
1000 1
< 0.1%
999 1
< 0.1%
690 1
< 0.1%

V965
Real number (ℝ)

MISSING  ZEROS 

Distinct1004
Distinct (%)1.8%
Missing18510
Missing (%)25.1%
Infinite0
Infinite (%)0.0%
Mean1001.397295
Minimum0
Maximum80000
Zeros25871
Zeros (%)35.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:58.126163image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median250
Q31210
95-th percentile4000
Maximum80000
Range80000
Interquartile range (IQR)1210

Descriptive statistics

Standard deviation2182.760125
Coefficient of variation (CV)2.179714421
Kurtosis195.7799296
Mean1001.397295
Median Absolute Deviation (MAD)250
Skewness9.861562911
Sum55230065
Variance4764441.764
MonotonicityNot monotonic
2024-03-09T21:20:58.405468image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25871
35.1%
1000 2633
 
3.6%
500 2328
 
3.2%
1500 2109
 
2.9%
2000 1759
 
2.4%
1200 1292
 
1.8%
600 1204
 
1.6%
800 1126
 
1.5%
300 1109
 
1.5%
3000 1019
 
1.4%
Other values (994) 14703
20.0%
(Missing) 18510
25.1%
ValueCountFrequency (%)
0 25871
35.1%
1 21
 
< 0.1%
2 16
 
< 0.1%
3 2
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
80000 2
< 0.1%
71070 1
< 0.1%
70000 1
< 0.1%
57000 1
< 0.1%
54000 1
< 0.1%

V966
Real number (ℝ)

MISSING  ZEROS 

Distinct629
Distinct (%)1.1%
Missing18510
Missing (%)25.1%
Infinite0
Infinite (%)0.0%
Mean604.1914855
Minimum0
Maximum10000
Zeros27901
Zeros (%)37.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:20:58.667303image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31000
95-th percentile2346
Maximum10000
Range10000
Interquartile range (IQR)1000

Descriptive statistics

Standard deviation901.377453
Coefficient of variation (CV)1.491873809
Kurtosis12.32432863
Mean604.1914855
Median Absolute Deviation (MAD)0
Skewness2.548837721
Sum33322973
Variance812481.3127
MonotonicityNot monotonic
2024-03-09T21:20:59.769102image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27901
37.9%
1000 2944
 
4.0%
500 2029
 
2.8%
1500 2007
 
2.7%
600 1478
 
2.0%
2000 1458
 
2.0%
800 1442
 
2.0%
1200 1396
 
1.9%
300 852
 
1.2%
700 802
 
1.1%
Other values (619) 12844
17.4%
(Missing) 18510
25.1%
ValueCountFrequency (%)
0 27901
37.9%
1 14
 
< 0.1%
20 1
 
< 0.1%
25 1
 
< 0.1%
36 2
 
< 0.1%
ValueCountFrequency (%)
10000 29
< 0.1%
9600 1
 
< 0.1%
9500 1
 
< 0.1%
9000 4
 
< 0.1%
8500 2
 
< 0.1%

V967
Real number (ℝ)

MISSING  ZEROS 

Distinct629
Distinct (%)1.1%
Missing18510
Missing (%)25.1%
Infinite0
Infinite (%)0.0%
Mean296.278915
Minimum0
Maximum32624
Zeros37057
Zeros (%)50.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:21:00.036130image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3300
95-th percentile1500
Maximum32624
Range32624
Interquartile range (IQR)300

Descriptive statistics

Standard deviation824.7666701
Coefficient of variation (CV)2.783750811
Kurtosis275.414234
Mean296.278915
Median Absolute Deviation (MAD)0
Skewness11.9951164
Sum16340671
Variance680240.0601
MonotonicityNot monotonic
2024-03-09T21:21:00.318916image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37057
50.3%
500 1578
 
2.1%
200 1331
 
1.8%
600 1276
 
1.7%
300 1062
 
1.4%
1000 1012
 
1.4%
400 1008
 
1.4%
800 826
 
1.1%
100 743
 
1.0%
700 680
 
0.9%
Other values (619) 8580
 
11.6%
(Missing) 18510
25.1%
ValueCountFrequency (%)
0 37057
50.3%
1 39
 
0.1%
5 2
 
< 0.1%
10 29
 
< 0.1%
20 30
 
< 0.1%
ValueCountFrequency (%)
32624 1
< 0.1%
32044 1
< 0.1%
25000 1
< 0.1%
24000 1
< 0.1%
23500 1
< 0.1%

V968
Real number (ℝ)

MISSING  ZEROS 

Distinct1725
Distinct (%)3.1%
Missing18510
Missing (%)25.1%
Infinite0
Infinite (%)0.0%
Mean805.5255199
Minimum0
Maximum80000
Zeros42397
Zeros (%)57.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:21:00.577047image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4551.4
Maximum80000
Range80000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2769.311477
Coefficient of variation (CV)3.437894155
Kurtosis89.8729424
Mean805.5255199
Median Absolute Deviation (MAD)0
Skewness7.478099015
Sum44427149
Variance7669086.054
MonotonicityNot monotonic
2024-03-09T21:21:00.897124image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42397
57.6%
1000 560
 
0.8%
200 533
 
0.7%
1500 400
 
0.5%
2000 375
 
0.5%
3000 354
 
0.5%
267 354
 
0.5%
1200 331
 
0.4%
500 322
 
0.4%
2500 265
 
0.4%
Other values (1715) 9262
 
12.6%
(Missing) 18510
25.1%
ValueCountFrequency (%)
0 42397
57.6%
1 16
 
< 0.1%
2 2
 
< 0.1%
3 1
 
< 0.1%
5 2
 
< 0.1%
ValueCountFrequency (%)
80000 1
< 0.1%
66600 1
< 0.1%
65800 2
< 0.1%
59600 1
< 0.1%
52860 1
< 0.1%

V969
Real number (ℝ)

MISSING  ZEROS 

Distinct2186
Distinct (%)4.0%
Missing18510
Missing (%)25.1%
Infinite0
Infinite (%)0.0%
Mean3654.078509
Minimum0
Maximum550000
Zeros43741
Zeros (%)59.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:21:01.172559image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile22810
Maximum550000
Range550000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12733.8243
Coefficient of variation (CV)3.484825045
Kurtosis163.9628748
Mean3654.078509
Median Absolute Deviation (MAD)0
Skewness8.633222766
Sum201533392
Variance162150281.4
MonotonicityNot monotonic
2024-03-09T21:21:01.440579image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43741
59.4%
1200 495
 
0.7%
12000 312
 
0.4%
18000 200
 
0.3%
6000 185
 
0.3%
7200 175
 
0.2%
9600 165
 
0.2%
7800 153
 
0.2%
9000 144
 
0.2%
10800 142
 
0.2%
Other values (2176) 9441
 
12.8%
(Missing) 18510
25.1%
ValueCountFrequency (%)
0 43741
59.4%
1 14
 
< 0.1%
2 1
 
< 0.1%
5 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
550000 1
< 0.1%
483890 1
< 0.1%
317760 1
< 0.1%
308000 1
< 0.1%
245000 1
< 0.1%

V970
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing18510
Missing (%)25.1%
Memory size647.5 KiB
0.0
53581 
1.0
 
1572

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 53581
72.7%
1.0 1572
 
2.1%
(Missing) 18510
 
25.1%

Common Values (Plot)

2024-03-09T21:21:01.646474image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

V971
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing18510
Missing (%)25.1%
Memory size647.5 KiB
1.0
32126 
0.0
23027 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row0.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 32126
43.6%
0.0 23027
31.3%
(Missing) 18510
25.1%

Common Values (Plot)

2024-03-09T21:21:01.788192image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

V972
Real number (ℝ)

MISSING  ZEROS 

Distinct237
Distinct (%)0.4%
Missing18510
Missing (%)25.1%
Infinite0
Infinite (%)0.0%
Mean121.9487063
Minimum0
Maximum20000
Zeros53581
Zeros (%)72.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:21:02.008169image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum20000
Range20000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1091.217638
Coefficient of variation (CV)8.948169039
Kurtosis180.5344211
Mean121.9487063
Median Absolute Deviation (MAD)0
Skewness12.48081236
Sum6725837
Variance1190755.934
MonotonicityNot monotonic
2024-03-09T21:21:02.279135image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53581
72.7%
1000 91
 
0.1%
1 89
 
0.1%
2000 77
 
0.1%
20000 51
 
0.1%
4000 51
 
0.1%
500 49
 
0.1%
200 49
 
0.1%
5000 47
 
0.1%
3000 44
 
0.1%
Other values (227) 1024
 
1.4%
(Missing) 18510
 
25.1%
ValueCountFrequency (%)
0 53581
72.7%
1 89
 
0.1%
3 1
 
< 0.1%
5 7
 
< 0.1%
10 7
 
< 0.1%
ValueCountFrequency (%)
20000 51
0.1%
19600 1
 
< 0.1%
19500 1
 
< 0.1%
19370 1
 
< 0.1%
19000 1
 
< 0.1%

V973
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct207
Distinct (%)0.4%
Missing18510
Missing (%)25.1%
Infinite0
Infinite (%)0.0%
Mean2.034884775
Minimum0
Maximum2123
Zeros54032
Zeros (%)73.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:21:02.553709image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2123
Range2123
Interquartile range (IQR)0

Descriptive statistics

Standard deviation34.92290373
Coefficient of variation (CV)17.1621038
Kurtosis1752.542961
Mean2.034884775
Median Absolute Deviation (MAD)0
Skewness36.74573361
Sum112230
Variance1219.609205
MonotonicityNot monotonic
2024-03-09T21:21:02.805527image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54032
73.4%
10 56
 
0.1%
15 49
 
0.1%
5 49
 
0.1%
30 48
 
0.1%
20 41
 
0.1%
40 34
 
< 0.1%
3 33
 
< 0.1%
2 32
 
< 0.1%
50 31
 
< 0.1%
Other values (197) 748
 
1.0%
(Missing) 18510
 
25.1%
ValueCountFrequency (%)
0 54032
73.4%
1 29
 
< 0.1%
2 32
 
< 0.1%
3 33
 
< 0.1%
4 29
 
< 0.1%
ValueCountFrequency (%)
2123 2
< 0.1%
2000 4
< 0.1%
1842 1
 
< 0.1%
1500 2
< 0.1%
1200 1
 
< 0.1%

FECHA_ENTREGA
Text

MISSING 

Distinct237
Distinct (%)0.6%
Missing37013
Missing (%)50.2%
Memory size1.1 MiB
2024-03-09T21:21:03.182646image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters366500
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)< 0.1%

Sample

1st row2019-10-18
2nd row2020-11-27
3rd row2019-11-05
4th row2020-12-02
5th row2019-10-31
ValueCountFrequency (%)
2019-10-15 939
 
2.6%
2019-10-16 933
 
2.5%
2020-11-10 929
 
2.5%
2020-11-11 918
 
2.5%
2019-10-17 918
 
2.5%
2020-11-12 913
 
2.5%
2019-10-18 888
 
2.4%
2020-11-20 855
 
2.3%
2020-11-13 779
 
2.1%
2020-11-18 771
 
2.1%
Other values (227) 27807
75.9%
2024-03-09T21:21:03.810882image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 89480
24.4%
0 83649
22.8%
2 75716
20.7%
- 73300
20.0%
9 20015
 
5.5%
3 5657
 
1.5%
5 4211
 
1.1%
8 3878
 
1.1%
7 3762
 
1.0%
6 3569
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 293200
80.0%
Dash Punctuation 73300
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 89480
30.5%
0 83649
28.5%
2 75716
25.8%
9 20015
 
6.8%
3 5657
 
1.9%
5 4211
 
1.4%
8 3878
 
1.3%
7 3762
 
1.3%
6 3569
 
1.2%
4 3263
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 73300
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 366500
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 89480
24.4%
0 83649
22.8%
2 75716
20.7%
- 73300
20.0%
9 20015
 
5.5%
3 5657
 
1.5%
5 4211
 
1.1%
8 3878
 
1.1%
7 3762
 
1.0%
6 3569
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 366500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 89480
24.4%
0 83649
22.8%
2 75716
20.7%
- 73300
20.0%
9 20015
 
5.5%
3 5657
 
1.5%
5 4211
 
1.1%
8 3878
 
1.1%
7 3762
 
1.0%
6 3569
 
1.0%

C_OBSERVACION
Text

MISSING 

Distinct2443
Distinct (%)72.1%
Missing70276
Missing (%)95.4%
Memory size1.1 MiB
2024-03-09T21:21:04.149629image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Length

Max length254
Median length237
Mean length118.7883082
Min length1

Characters and Unicode

Total characters402336
Distinct characters118
Distinct categories16 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2330 ?
Unique (%)68.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
de 4144
 
6.4%
el 2347
 
3.6%
la 2271
 
3.5%
con 2122
 
3.3%
en 1616
 
2.5%
se 1585
 
2.4%
no 1377
 
2.1%
y 1312
 
2.0%
que 1247
 
1.9%
a 996
 
1.5%
Other values (5965) 45951
70.7%
2024-03-09T21:21:04.785481image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
65379
 
16.2%
E 20999
 
5.2%
e 19729
 
4.9%
A 19106
 
4.7%
a 18132
 
4.5%
N 14151
 
3.5%
O 14142
 
3.5%
n 14013
 
3.5%
o 13495
 
3.4%
I 11026
 
2.7%
Other values (108) 192164
47.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 163651
40.7%
Lowercase Letter 158036
39.3%
Space Separator 65387
 
16.3%
Decimal Number 7323
 
1.8%
Other Punctuation 6424
 
1.6%
Dash Punctuation 1089
 
0.3%
Open Punctuation 128
 
< 0.1%
Close Punctuation 126
 
< 0.1%
Math Symbol 78
 
< 0.1%
Other Symbol 38
 
< 0.1%
Other values (6) 56
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 19729
12.5%
a 18132
11.5%
n 14013
8.9%
o 13495
 
8.5%
c 10597
 
6.7%
s 10496
 
6.6%
i 10079
 
6.4%
t 9760
 
6.2%
r 9491
 
6.0%
l 7762
 
4.9%
Other values (28) 34482
21.8%
Uppercase Letter
ValueCountFrequency (%)
E 20999
12.8%
A 19106
11.7%
N 14151
8.6%
O 14142
8.6%
I 11026
 
6.7%
C 10776
 
6.6%
S 10509
 
6.4%
R 9768
 
6.0%
T 9159
 
5.6%
L 9117
 
5.6%
Other values (26) 34898
21.3%
Other Punctuation
ValueCountFrequency (%)
. 3588
55.9%
, 1004
 
15.6%
? 623
 
9.7%
: 574
 
8.9%
; 180
 
2.8%
/ 159
 
2.5%
" 151
 
2.4%
¿ 36
 
0.6%
@ 32
 
0.5%
* 26
 
0.4%
Other values (6) 51
 
0.8%
Decimal Number
ValueCountFrequency (%)
0 1748
23.9%
2 1538
21.0%
1 1422
19.4%
3 665
 
9.1%
4 499
 
6.8%
9 364
 
5.0%
7 325
 
4.4%
5 264
 
3.6%
8 263
 
3.6%
6 235
 
3.2%
Math Symbol
ValueCountFrequency (%)
= 75
96.2%
| 1
 
1.3%
+ 1
 
1.3%
> 1
 
1.3%
Control
ValueCountFrequency (%)
“ 5
45.5%
3
27.3%
” 3
27.3%
Space Separator
ValueCountFrequency (%)
65379
> 99.9%
  8
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 1089
100.0%
Open Punctuation
ValueCountFrequency (%)
( 128
100.0%
Close Punctuation
ValueCountFrequency (%)
) 126
100.0%
Other Symbol
ValueCountFrequency (%)
° 38
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 20
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 16
100.0%
Modifier Symbol
ValueCountFrequency (%)
´ 4
100.0%
Initial Punctuation
ValueCountFrequency (%)
3
100.0%
Final Punctuation
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 321687
80.0%
Common 80649
 
20.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 20999
 
6.5%
e 19729
 
6.1%
A 19106
 
5.9%
a 18132
 
5.6%
N 14151
 
4.4%
O 14142
 
4.4%
n 14013
 
4.4%
o 13495
 
4.2%
I 11026
 
3.4%
C 10776
 
3.3%
Other values (64) 166118
51.6%
Common
ValueCountFrequency (%)
65379
81.1%
. 3588
 
4.4%
0 1748
 
2.2%
2 1538
 
1.9%
1 1422
 
1.8%
- 1089
 
1.4%
, 1004
 
1.2%
3 665
 
0.8%
? 623
 
0.8%
: 574
 
0.7%
Other values (34) 3019
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 396577
98.6%
None 5751
 
1.4%
Punctuation 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
65379
 
16.5%
E 20999
 
5.3%
e 19729
 
5.0%
A 19106
 
4.8%
a 18132
 
4.6%
N 14151
 
3.6%
O 14142
 
3.6%
n 14013
 
3.5%
o 13495
 
3.4%
I 11026
 
2.8%
Other values (77) 186405
47.0%
None
ValueCountFrequency (%)
ó 1613
28.0%
Ó 924
16.1%
ż 696
12.1%
í 681
11.8%
á 568
 
9.9%
Í 317
 
5.5%
ú 254
 
4.4%
Á 154
 
2.7%
Ñ 110
 
1.9%
é 96
 
1.7%
Other values (18) 338
 
5.9%
Punctuation
ValueCountFrequency (%)
3
37.5%
3
37.5%
2
25.0%